Method and system for determining dimensions of optically recognizable features

1. Field of the Invention

This invention relates to optical inspection and measuring systems, and more specifically, to an optical system for measuring the dimensions of optically recognizable features.

2. Description of the Related Art

The most used technologies for measuring three-dimensional (3D) features include triangulation, stereo vision, focusing methods (including confocal microscopy), interferometry, and time of flight measurements. Each of these methods has a specific range of applications. The range of applications referred to in the present invention are closely related to triangulation and stereo-vision. Triangulation and stereo-vision are well known for their 3D measurement capabilities. Derivatives, like Moiré fringe detection techniques are also well known for use in surface inspection.

The above-listed methods are limited in two key ways. First, the dynamic range (defined as the measuring range divided by the resolution) is limited by the number of pixels in the detection sensor. Second, since the height information of a measured feature is embedded in the 2D projection of the entire image onto the sensor, a large amount of data collection is required for every image sample taken (the entire number of pixels in the sensor) to measure the height of only few points of interest. Therefore, data collection and image processing within the above-listed techniques are complicated and time consuming.

Therefore, it would be desirable to provide a method and system for determining the dimensions of optically recognizable features that is not limited by the resolution of the detection sensor. It would further be desirable to reduce the amount of data collection necessary to measure three-dimensional features.

The foregoing objectives are achieved in an optical method and system that measures the three-dimensional structure of optically recognizable features. The system includes multiple imaging subsystems aligned at differing predetermined angles with respect to a surface under inspection, a scanning subsystem for providing motion of the surface under test with respect to the imaging subsystems and a processor coupled to the imaging subsystems for synchronizing the images in the time domain to compute both the size and height of surface features of the surface under inspection in conformity with the deviations of outputs of the imaging subsystems as edges of the features move within the optical paths of the imaging subsystems.

The foregoing and other objects, features, and advantages of the invention will be apparent from the following, more particular, description of the preferred embodiment of the invention, as illustrated in the accompanying drawings.

FIG. 1A is an illustration depicting a cross section of a surface under test by a system in accordance with a preferred embodiment of the invention.

FIGS. 1B-1G are illustrations depicting a cross section of a surface under test by a system in accordance with an embodiment of the invention as the surface under test is moved over time.

FIG. 2 is a timing diagram depicting the outputs of imaging subsystems 14 and 16 as the surface under test is moved over time.

FIG. 3 is an illustration depicting a cross section of a surface under test by a system in accordance with an alternative embodiment of the invention.

With reference now to the figures, and in particular to FIG. 1A , a surface 12 under test by a system in accordance with an embodiment of the invention is depicted. Feature 10 is a feature within surface 12 to be measured. While the illustration depicts a single rectangle with a substantial height-to-width ratio, in practice, any feature of any shape can be measured provided it has a recognizable boundary.

A scanning platform 13 , which can be a simple motional positioner, supports surface 12 and is used to move surface 12 through the optical paths of multiple imaging subsystems 14 and 16 along motional path 17 . Imaging subsystems 14 and 16 include optics 14 a and 16 a required to image light scattered from surface 12 onto line detectors 14 b and 16 b as well as the virtual lines-of-site of imaging subsystems 14 and 16 . Line detectors 14 b and 16 b are oriented with their resolution axes perpendicular to the page of the figure, and thus provide measurement of feature characteristics perpendicular to the page. Sight lines 14 c and 16 c represent the theoretical line of sight materialized by the optical axis of imaging subsystems 14 and 16 . Only light generated from a point belonging to line of sight 14 c or 16 c will be imaged onto the line of site, and therefore, onto the detectors 14 b and 16 b , respectively. Illumination is provided by an illumination source 11 that provides lighting of surface 12 . Illumination source 11 may be any suitable illuminating source, as no coherency or focusing requirement is implicit in the system of the present invention.

The illumination can be provided by a separate subsystem or the detectors may measure surface 12 using only the surrounding (ambient) light. If features on surface 12 are light emitters, then the method can be further used for 3D tracking of the light-emitting features. The purpose of illumination system 12 is to provide differentiation of the boundaries of feature 10 from the background portion of surface 12 . The determination of variation of received light can be performed by any of the known techniques. The present invention operates on intensity variation of detected scattered light and therefore no coherent detection, interferometry or sectioning/focusing of the illumination source is needed. The present invention separates the detection of feature height into the time domain, by moving either surface under test 12 or imaging subsystems 14 and 16 and synchronizing the images detected by imaging subsystems 14 and 16 to determine the height of surface features. Alternatively, instead of moving the surface 12 or imaging systems 14 and 16 , the surface image may be scanned (moved) relative to the detection systems, using one of many known image scanning techniques. For example, a plane mirror resonant scanner, a polygonal rotating mirror, or a multi-mirror sideways scanner (such as a corner cube arrangement) may be used to scan both lines of sight 14 c and 16 c , or a separate scanning system can be used for each line of sight, as long as the angular relationship between lines of sight are maintained (i.e., synchronized scanning). Any combination of scanning methods providing an optical synchronized scanning of the surface or the surface image is usable for the purpose of this invention.

Line detectors 14 b and 16 b project their resolution in a direction perpendicular to the direction of motion and provide width and length measurements that are tied to the resolution of the line detectors, but the height measurements are made by comparing the differences in time between the images detected by line detectors 14 b and 16 b in the direction of motion, and thus the height measurements are not limited by the resolution of line detectors 14 b and 16 b . Further, two-dimensional arrays can be used in place of line detectors 14 b and 16 b for providing measurement of length and width of surface features and mechanical scanning subsystem 19 may be configured to scan either the imaging subsystems or the surface under test in two axes, whereby height determination can be improved by detecting edges along both axes of motion. Similarly, instead of moving the surface, the image can be scanned relative to the imaging subsystems 14 and 16 according to known image scanning techniques.

Only two imaging subsystems 14 , 16 are required to implement the techniques of the present invention, but the invention is not limited to systems using only two imaging subsystems. Imaging subsystems are generally linear optical sensing arrays such as CMOS linear arrays or CCDs (charge-coupled device arrays), but single detectors with a linear mask (slit) may be used when no surface (feature length and width) information is required. Use of linear arrays provides a rapid scanning capability that provides the system of the present invention with the ability to determine millions of points in three-dimensions quickly. Moreover, as will be seen later from the functional description, the height detection of the present invention provides a dramatic data reduction, since only the features out-of-plane of surface 12 will give a 3D signal.

A processor 18 (including the necessary circuitry to scan and convert the output of imaging subsystems 14 and 16 to a digital form), is coupled to imaging subsystems 14 and 16 . The processor 18 includes a memory for storing program instructions for execution by an instruction unit and data values for manipulation by the program instructions. The program instructions for implementing portions of the method of the present invention include instructions for scanning the arrays within imaging subsystems 14 and 16 , detecting edges of recognizable surface features and computing the height of surface features in conformity with a difference between the position of surface 12 when imaging subsystem 14 detects the edge of surface feature 10 and when imaging subsystem 16 detects the same edge.

The operation of the measurement system of the present invention will be described in a series of figures depicting the motion of surface 12 with respect to imaging subsystems 14 and 16 . Referring again to FIG. 1A , surface 12 includes a boundary A. Position O represents the intersection of the theoretical lines of sight of the two imaging systems 14 and 16 . Position O is the origin of the coordinates for measurements. At time T 0 , corresponding to the position of surface 12 in FIG. 1A , light scattering from surface 12 will be seen simultaneously by both imaging systems.

Referring to FIG. 1B , at time T 1 , boundary A is now at Position O, resulting in a change in light level detected by both imaging systems. At this point in time and in the position of surface 12 with respect to imaging subsystems 14 and 16 when imaging system 14 sends a “start” (or “origin” or “triggering”) signal to processor 18 . The variation of the detected light level on both imaging systems 14 and 16 is related to the imaging of the lower corner of boundary A. The duration of the signals is therefore quite small for a mathematically “perfect” edge.

Referring to FIG. 1C , at time T 2 , as boundary A moves further in motional direction 17 , light originating from boundary A will not image within the theoretical line of sight of imaging system 16 , therefore resulting in a low amplitude at detector 16 b given by the scattering from the vertical edge of feature 10 . Light scattering from the surface of feature 10 along the theoretical line of sight of imaging system 14 returns to a steady amplitude as line of sight 14 C has now reached the top of feature 10 at time T 2 . From time T 1 to T 2 neither of imaging subsystems 14 and 16 detects boundary A.

Referring to FIG. 1D , at time T 3 , when surface 12 reaches position C, then once again imaging subsystem 16 detects light amplitude from scattering from boundary A and there is no change in the light level detected by imaging subsystem 14 . Referring to FIG. 1E , at time T 4 , imaging subsystem 14 detects a change in amplitude due to scattering from the edge of feature 10 , while imaging subsystem 16 returns a constant level as line of sight 16 c passes along the upper surface of feature 10 .

Due to the time decomposition of the edge detection on the two imaging systems it is seen that the lateral size of feature 10 is given simply by the length of time that has elapsed (T 4 −T 1 ) times the position change rate (positioner velocity) between FIG. 1 B and FIG. 1 E. In addition, since imaging system 16 is at a predetermined angle T with respect to surface 12 , and that there is a known time difference between positions shown in FIG. 1 B and FIG. 1D during which line of sight 16 c is passing along edge A, the height of feature 10 (length of edge A) can be computed as H=positioner velocity times (T 3 −T 1 )/tan T, where T is the angle between the two optical axes (or the two lines of sight).

As positioning subsystem 19 continues to move, at time T 5 , depicted in FIG. 1F the output of line detector 16 b changes due to scattering from the trailing edge of feature 10 and at time T 6 , as depicted in FIG. 1G the output of both imaging subsystems 14 and 16 return to a steady amplitude as line of sight 14 c and 16 c have now reached surface 12 (clear of feature 10 ) at time T 6 . In the illustrated example, the signal level from imaging subsystem 14 is used as a reference signal. The signal change from imaging subsystem 16 will lag a signal change from imaging subsystem 14 for a positive height deviation and lead a signal change from imaging subsystem 14 for a negative height deviation. The amount of lead or lag is proportional to the magnitude of the height deviation.

Assuming illumination from above and a uniformly scattering surface 12 , a timing diagram of light amplitudes received at detectors 14 b (DET 14 ) and 16 b (DET 16 ) at times T 0 -T 6 described above is shown in FIG. 2 . In the figure, the time scale is greatly exaggerated at the edges to provide clarity.

FIGS. 1A-1G and surface 12 are illustrative of detection and determination of simple steps in height, however, the present invention applies to detection of other features of varying shape. The only requirement is that the feature be of recognizable shape, for example a typical dust particle, a solder ball in a BGA (ball-gird-array), a vehicle or other structure in a field, etc. Due to the measurement by the imaging subsystem 14 of the reflective profile of various known shapes of defects and generally known shapes for design features, the variation in illumination as the surface passes by the optical imaging subsystems can be correlated to determine the location of the surface feature and the results compared between imaging subsystem 14 and imaging subsystem 16 to determine the height difference. In this way, complete 3D information is achieved for all surface features.

Moreover, the 3D information is acquired by imaging subsystem 16 only for the points of interest (i.e. the ones having a height change) while for constant height variations imaging subsystem 16 provides no signal. The use of imaging subsystem 16 to detect height changes creates a major data and processing reduction compared with a stereo vision method, since only one subsystem (imaging subsystem 14 ) acquires all in-plane surface information, while the other (imaging subsystem 16 ) acquires only height information and only for points of interest, when triggered. Moreover, the correlation between the imaging systems 14 and 16 is direct, time-dependent, while for a stereo vision system the correlation must be done after processing the entire image. The data reduction is a feature of the optical system of the present invention and is not a result of image processing. By way of example, an amount of information and time can be predetermined for detecting two high resolution images with existing area cameras used in stereo vision: for a typical high speed 2000×2000 pixel camera, data acquisition time is of the order of 100 milliseconds at present. Image acquisition will increase this time by at least a factor of 4. For the proposed system, the data from a 10,000-pixel high-speed line camera can be acquired in about 1/10,000 second, with synchronized image acquisition (since the second coordinate is provided by the scanning subsystem). Consequently, one can detect and acquire 10 million pixels/second with the fastest existing system (including a costly high-speed detector), while a system in accordance with the present invention can perform an identical function at 100 million pixels/second using a standard detector.

Further advantages arise in image processing according to the system of the present invention. Using the above-illustrated approach, image processing is greatly simplified by the techniques of the present invention. Rather than comparing two “shifted” images as required in stereo vision implementations and detecting specific changes embedded in a 2D image, the method of the present invention tracks changes occurring only at out-of-plane points of interest. The height range offered by the proposed method is limited only by the depth of field of the imaging subsystems (a limit present also in conventional techniques). Unlike the existing methods (triangulation or stereo vision) using area cameras where the height range is limited by the number of rows of the camera, the proposed method can measure with the same accuracy very small and very large height changes. Further, existing methods are highly non-linear over the measurable height range due to the intrinsic geometry exploited for making the height measurements. The proposed method is perfectly linear as shown in the formula and is limited only by either the accuracy of time measurement and ability to control the velocity of positioning subsystem 19 or by the ability to synchronize the signals from the imaging systems.

Finally, the present invention is advantageous in that while the basic resolution for conventional methods is related to pixel size (improved sometimes by complicated image processing algorithms), the present invention method is limited primarily by the scanning of the surface and the edge signal synchronization. Present positioners and position instrumentation are highly accurate, with resolutions ranging to fractions of micrometers. While a standard stereo vision technique, using a high resolution camera (roughly 200×2000 pixels), the height range for an observation angle of 45 degrees is approximately 4000:1 (considering the number of rows for the range and a pixel interpolation algorithm for the resolution). For the method of the present invention, the height range can be as large as several meters with a resolution as small as several micrometers, providing a dynamic range of 10 6 or greater. Moreover, the system of the present invention is easily scalable.

As has been described, a scanning motion between the surface to be inspected and the detectors is required. What was shown is a contained system where the surface was scanned under the detectors. In further embodiments of the invention, there are applications such as profile mapping of large surfaces where the detection system would be translated as opposed to the surface to be inspected. Translation can be performed in a number of ways known to those skilled in the art. What is required is that the detection system be moved as a whole and that the reference dimensions between the detectors remain the same. An example is mounting the detection system to a movable vehicle and scanning objects while moving the vehicle. A second example is mounting the detection system to a rotating platform. Synchronized scanners can also be used to translate the image of the surface onto the detectors. In the synchronized scanner methods the synchronization can also be adjusted so as to move position O across a range of interest. In yet further embodiment of the invention, one or more of imaging systems may operate in transmission rather than reflection. Referring now to FIG. 3 , a measurement system in accordance with an alternative embodiment of the invention is depicted. Imaging system 16 is operating in transmission while imaging system 14 is operating in reflection. Due to the time resolving nature of the systems of the present invention, the imaging systems are decoupled and therefore the relative amplitude of the signals and the relative specifications of the different imaging systems are not critical. For the same above-mentioned reasons, the illumination systems are also not critical. Features to be measured need only provide a signal with appropriate signal to noise ratios for each imaging system.

While the invention has been particularly shown and described with reference to the preferred embodiments thereof, it will be understood by those skilled in the art that the foregoing and other changes in form, and details may be made therein without departing from the spirit and scope of the invention.