Abstract: Method and systems for search and retrieval of images with an image processing system is disclosed. With an input interface, selection of a plurality of images to use in a search query is accepted. The plurality of images of the search query are processed with the image processing system. A subset of the plurality of target images that are similar to the plurality of images is determined. With an output interface, the subset of the plurality of target images as a result from the search query is output.

Abstract: Methods and systems for comparing two digital images are provided. A region of a selected image is extracted and processed. A target image from a plurality of target images is provided, where the region is smaller than the target image. The region is compared with a plurality of regions in the target image, and the region is matched to a target region from the plurality of regions in the target image.

Abstract: Techniques for providing search and retrieval of images are disclosed. The techniques include receiving a selection of a first image and performing a search query to determine a first plurality of images from a plurality of target images. A listing of the first plurality of images is presented, and a selection of a second image chosen from the first plurality of images is received. Another search query is performed, using the second image, to determine a second plurality of images. Finally a listing of the second plurality of images is provided.

Abstract: Method and systems for search and retrieval of images with an image processing system is disclosed. With an input interface, a first image to use in a search query is received. The first image is processed with the image processing system to create first information and determine a first code associated with the first image. A plurality of images are received from an image database and processed to respectively create information at least related to each of the plurality of images. A plurality of codes associated with the plurality of images is determined. The first code is compared with the plurality of codes to find a subset of the plurality of images. The first information is compared with information for the subset. Finally, the image processing system determines if the subset compares favorably with the first image based, at least in part, on an outcome from the comparing the first information with the information from the subset.

Abstract: Method and systems for circuit board manufacture and inspection are provided. A captured image of a circuit board is compared with a target image of a reference circuit board at a similar stage in manufacture. The target image and a captured image are aligned. The captured image is divided into a plurality of image regions. A primary image region within the captured image is selected, and a target image region within the target image is selected and properties of the primary image region and the target image region are compared.

Abstract: Method and systems for comparing two images with an image processing system is disclosed. A target image and a selected image are aligned. The selected image is divided into a plurality of image regions, and properties of predetermined regions are combined. A primary image region within the selected image is selected, and a target image region within the target image is selected and properties of the two regions are compared.

Abstract: Method and systems for search and retrieval of images with an image processing system is disclosed. With an input interface, selection of a plurality of images to use in a search query is accepted. The plurality of images of the search query are processed with the image processing system. A subset of the plurality of target images that are similar to the plurality of images is determined. With an output interface, the subset of the plurality of target images as a result from the search query is output.

Abstract: Method and systems for search and retrieval of images with an image processing system is disclosed. With an input interface, selection of a plurality of images to use in a search query is accepted. The plurality of images of the search query are processed with the image processing system. A subset of the plurality of target images that are similar to the plurality of images is determined. With an output interface, the subset of the plurality of target images as a result from the search query is output.

Abstract: An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the define image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Abstract: The invention relates to using VLSI techniques to store information on a substrate. One embodiment of a die with text deposited upon the die uses semiconductor processing techniques during fabrication. Included in the die are a substrate, a first paragraph and a second paragraph. The first and second paragraphs are in contact with the substrate. The second paragraph is aligned with the first paragraph in a column.

Abstract: An inspection system includes a plurality of models are applied in a way that enhances the effectiveness of each type of model. In one embodiment, a printed circuit board inspection system includes an image model, a structural model and a geometric model to inspect objects. The image model is first applied to an object being inspected to identify objects which look alike. After the image model is applied, a structural model is applied to determine whether the object exists in the image that has the same structure and is used to decide if the image model has truly found a part in the image. Lastly, a geometric model is applied and uses the approximate positional data provided by the previous two models to determine precisely the location of the object being inspected. Also described are techniques for learning and updating the plurality of models.

Abstract: An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the define image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Abstract: The invention relates to using VLSI techniques to store information on a substrate. One embodiment of a die with text deposited upon the die uses semiconductor processing techniques during fabrication. Included in the die are a substrate, a first paragraph and a second paragraph. The first and second paragraphs are in contact with the substrate. The second paragraph is aligned with the first paragraph in a column.

Abstract: An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the defined image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Abstract: The invention relates to using VLSI techniques to store information on a substrate. One embodiment of a die with text deposited upon the die uses semiconductor processing techniques during fabrication. Included in the die are a substrate, a first paragraph and a second paragraph. The first and second paragraphs are in contact with the substrate. The second paragraph is aligned with the first paragraph in a column.

Abstract: An image processing system for generating a class model from an image by identifying relative relationships between different properties of different image regions, includes a region partitioner a relationship processor, a template generator and an image detector. The image processing system utilizes a class model defined by one or more relative relationships between a plurality of image patches. The relative relationships describe the overall organization of images within an image class. The relative relationships are encoded in a global deformable template which can be used to classify or detect images. The class model may be pre-defined or generated by the image processing system. In one embodiment, the class model is generated from a low resolution image.

Abstract: An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the defined image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Abstract: An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the defined image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Abstract: A trainable object detection system and technique for detecting objects such as people in static or video images of cluttered scenes is described. The described system and technique can be used to detect highly non-rigid objects with a high degree of variability in size, shape, color, and texture. The system learns from examples and does not rely on any a priori (hand-crafted) models or on motion. The technique utilizes a wavelet template that defines the shape of an object in terms of a subset of the wavelet coefficients of the image. It is invariant to changes in color and texture and can be used to robustly define a rich and complex class of objects such as people. The invariant properties and computational efficiency of the wavelet template make it an effective tool for object detection.