Abstract:
A method for programming a three-dimensional (3D) workpiece scan path for a metrology system comprising a 3D motion control system, a first type of Z-height sensing system, and a second type of Z-height sensing system that provides less precise surface Z-height measurements over a broader Z-height measuring range. The method comprises: placing a representative workpiece on a stage of the metrology system, defining at least a first workpiece scan path segment for the representative workpiece, determining preliminary actual surface Z-height measurements along the first workpiece scan path segment, and determining a precise 3D scan path for moving the first type of Z-height sensing system to perform precise surface Z-height measurements. The precise 3D scan path is based on the determined preliminary actual surface Z-height measurements. The precise 3D scan path may be used for performing precise surface Z-height measurements or stored to be used in an inspection program.
Abstract:
A focus state reference subsystem comprising a focus state (FS) reference object is provided for use in a variable focal length (VFL) lens system comprising a VFL lens, a controller that modulates its optical power, and a camera located along an optical path including an objective lens and the VFL lens. Reference object image light from the FS reference object is transmitted along a portion of the optical path through the VFL lens to the camera. Respective FS reference regions (FSRRs) of the FS reference object include a contrast pattern fixed at respective focus positions. A camera image that includes a best-focus image of a particular FSRR defines a best-focus reference state associated with that FSRR, wherein that best-focus reference state comprises a VFL optical power and/or effective focus position of the VFL lens system through the objective lens.
Abstract:
A system for providing an automatically focused image comprises an imaging system including a high speed periodically modulated variable focal length (VFL) lens, a VFL lens controller, a VFL-projected light source, a focus determining portion, an exposure timing adjustment circuit, and an exposure strobe time controller. The focus determining portion comprises an optical detector that inputs reflected VFL-projected light that is projected to, and reflected from, a workpiece through the VFL lens, and provides a focus deviation signal. The exposure timing adjustment circuit provides an exposure timing adjustment signal based on the focus deviation signal, which indicates a time when the imaging system focus Z-height approximately coincides with the workpiece surface Z height. The exposure strobe time controller uses the exposure timing adjustment signal to adjust the image exposure time so the imaging system focus Z-height coincides with the workpiece surface Z height at the adjusted image exposure time.
Abstract:
A method for operating an imaging system of a machine vision inspection system to provide an extended depth of field (EDOF) image. The method comprises (a) placing a workpiece in a field of view; (b) periodically modulating a focus position of the imaging system without macroscopically adjusting the spacing between elements in the imaging system, the focus position is periodically modulated over a plurality of positions along a focus axis direction in a focus range including a workpiece surface height; (c) exposing a first preliminary image during an image integration time while modulating the focus position in the focus range; and (d) processing the first preliminary image to remove blurred image contributions occurring in the focus range during the image integration time to provide an EDOF image that is focused throughout a larger depth of field than the imaging system provides at a single focal position.
Abstract:
A method is provided for enhancing edge detection for edges of irregular surfaces in a machine vision inspection system. The inspection system comprises an edge feature video tool configured to determine profile data for an edge feature based on a plurality of differently focused images. An edge-referenced alignment compensation is provided related to substantially minimizing a respective offset amount of the edge feature at respective locations along a directional filtering direction used for directionally filtering the plurality of differently focused images prior to determining the profile data for the edge feature. In some embodiments, the plurality of differently focused images may be directionally filtered using a directional filtering sub region (DFS) defined relative to a point corresponding to a PFF basis pixel location in each of the plurality of images, each DFS having a relatively longer dimension along the directional filtering direction.
Abstract:
A reliable method for discriminating between a plurality of edges in a region of interest of an edge feature video tool in a machine vision system comprises determining a scan direction and an intensity gradient threshold value, and defining associated gradient prominences. The gradient threshold value may be required to fall within a maximum range that is based on certain characteristics of an intensity gradient profile derived from an image of the region of interest. Gradient prominences are defined by limits at sequential intersections between the intensity gradient profile and the edge gradient threshold. A single prominence is allowed to include gradient extrema corresponding to a plurality of respective edges. A gradient prominence-counting parameter is automatically determined that is indicative of the location of the selected edge in relation to the defined gradient prominences. The gradient prominence-counting parameter may correspond to the scan direction.
Abstract:
A method for improving repeatability in edge location measurement results of a machine vision inspection system comprises: placing a workpiece in a field of view of the machine vision inspection system; providing an edge measurement video tool comprising an edge-referenced alignment compensation defining portion; operating the edge measurement video tool to define a region of interest of the video tool which includes an edge feature of the workpiece; operating the edge measurement video tool to automatically perform scan line direction alignment operations such that the scan line direction of the edge measurement video tool is aligned along a first direction relative to the edge feature, wherein the first direction is defined by predetermined alignment operations of the edge-referenced alignment compensation defining portion; and performing edge location measurement operations with the region of interest in that position.
Abstract:
A method is provided for enhancing edge detection for edges of irregular surfaces in a machine vision inspection system. The inspection system comprises an edge feature video tool configured to determine profile data for an edge feature based on a plurality of differently focused images. An edge-referenced alignment compensation is provided related to substantially minimizing a respective offset amount of the edge feature at respective locations along a directional filtering direction used for directionally filtering the plurality of differently focused images prior to determining the profile data for the edge feature. In some embodiments, the plurality of differently focused images may be directionally filtered using a directional filtering sub region (DFS) defined relative to a point corresponding to a PFF basis pixel location in each of the plurality of images, each DFS having a relatively longer dimension along the directional filtering direction.
Abstract:
A workpiece inspection and defect detection system includes a light source, a lens that inputs image light arising from a surface of a workpiece, and a camera that receives imaging light transmitted along an imaging optical path. The system utilizes images of workpieces acquired with the camera as training images to train a defect detection portion to detect defect images that include workpieces with defects, and determines a performance of the defect detection portion as trained with the training images. Based on the performance of the defect detection portion, an indication is provided as to whether additional defect images should be provided for training. After training is complete, the camera is utilized to acquire new images of workpieces which are analyzed to determine defect images that include workpieces with defects, and for which additional operations may be performed (e.g., metrology operations for measuring dimensions of the defects, etc.)
Abstract:
An imaging system including a tunable acoustic gradient (TAG) lens is associated with a user interface including a live display of an extended depth of field (EDOF) image. The TAG lens is utilized to produce a raw EDOF image, which may include defocus blur (e.g., resulting in part from the periodically modulated optical power variation of the TAG lens). The live EDOF image is repetitively updated in the user interface based on a translation state signal at a current time (e.g., indicating a speed of translation of the workpiece across a field of view of the imaging system, etc.) In response to a current state of the translation state signal, a corresponding type of live EDOF image of the workpiece is displayed in the user interface corresponding to an EDOF image data set that is based on a corresponding level of image processing to remove defocus blur.