Ditto Labs, Inc.

Slyce Acquisition Inc.

Other

Cognex Corporation

Philip B Romanik

Neil Lawrence Mayle

Amy H Muntz

David J Michael

William M Silver

Carroll Arbogast

Samuel Druker

A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.

Systems, methods, and devices for image matching and object recognition in images using textures

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points from the template image are then matched to the feature points in the test image. An additional matching technique boosts the number of points that match each other. The additional points improve the match quality and help discriminate true from false positive matches.

Systems, methods, and devices for image matching and object recognition in images

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image.

Systems, methods, and devices for image matching and object recognition in images using feature point optimization

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Classifiers are trained for multiple template images and the classifiers are used to evaluate a match between a template image and a test image.

Systems, methods, and devices for image matching and object recognition in images using template image classifiers

A computer-implemented method for determining whether a first image contains at least a portion of a second image, includes: dividing set first image into multiple image regions; for a particular image region of the multiple image regions, determining a particular set of feature points associated with the particular image region; and attempting to match feature points in the particular set of feature points with second feature points associated with the second image to determine whether the particular image region of the first image contains at least a portion of the second image, wherein the first image is considered to contain at least a portion of a second image when the particular image region of the first image contains at least a portion of the second image.

Systems, methods, and devices for image matching and object recognition in images using image regions

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image. A covering set for a template image is used to optimize processing of test images.

Systems, methods, and devices for image matching and object recognition in images using minimal feature points

A system for preparing and transmitting all desired images from one or more image-producing clients to a server for archiving or later analysis, validation, or reporting purposes. Images are queued on the client while they await transmission to the server and can also be reduced in size, if necessary, to reduce storage space or network transmission time. Once the images reside on the server, they can be added to an image database or used for further processing.

Image transfer and archival system

A system for taking a sequence of images and converting them to a single composite image that contains the combined visual information of the defects found in the source images. The source images are aligned and manipulated, if necessary, such that they can be superimposed together. Optional image processing steps are applied to further enhance the defects. Both the number of input images and the algorithm used to combine these images can be adjusted to allow an observer to see a persistent display of the defects found in the images. Status, diagnostic and defect information, consisting of graphics and textual messages, are then applied to the composite image for display.

Image defect display system

The invention provides methods and apparatus for reducing the bandwidth of a multichannel image. In one aspect, the methods and apparatus call for acquiring a multichannel training image representing a training scene. Weighting factors for the respective channels are determined based on the contrast at corresponding locations in that multichannel training image. A reduced bandwidth runtime image is generated from the multichannel runtime images as a function of (i) the weighting factors determined from the training image and (ii) a multichannel image representing the runtime scene.

Bandwidth reduction of multichannel images for machine vision

A system for interactively generating a computer program for machine vision analysis insures that the program is correct by permitting the operator to make only syntactically correct modifications to the program. The system includes an element for storing the computer program being generated. A further element displays the program to the operator. A positioning element demarks a location of interest within the program. A menu element displays permissible programming modifications for the location of interest. The menu element incorporates in its display of permissible programming modifications statements for machine vision analysis of an object image, e.g., calls to machine vision subroutines and functions. To facilitate specification of input parameters to those subroutines and functions, the imaging element can generate a candidate image of the object upon which the machine vision analysis is to be run. A graphical input element displays over that candidate image a graphical icon that the operator can manipulate to specify the parameters. A textual input element can display an icon, e.g., a dialog box, prompting the operator to designate textually input parameters for the machine vision tool. An update element responds to the operator selection by appropriately modifying the stored program.

Growing community of inventors

West Haven, CT, United States of America

Philip B Romanik