Abstract: There is provided an image processing apparatus including a weight generating section that generates weight data in which a weight of a first region is larger than a weight of a second region, where the first region has a larger difference between a target image and at least one of a plurality of to-be-selected images than the second region, a calculating section that calculates a degree of similarity between the target image and each of two or more of the plurality of to-be-selected images with a difference between the target image and the to-be-selected image being weighted in each region in accordance with the weight data, and an image selecting section that selects, from the two or more to-be-selected images, one or more to-be-selected images that are more similar to the target image by referring to the degrees of similarity of the two or more to-be-selected images.

Abstract: A partition pattern template generation method for alignment receives a learning image and performs partition template generation using the learning image to generate a plurality of partition template result output. A partition template acceptance test is performed using the plurality of partition template results to generate partition templates or failure result. A partition template search method for alignment receives an alignment image and partition templates and performs a plurality of template search steps to generate a plurality of matching scores output. A partition integration method is performed using the plurality of matching scores to generate a partition template search result. A partition integration error self checking method receives a preliminary template search result position and a plurality of the matching scores. A matching score profile comparison is performed using the plurality of the matching scores and the expected matching score profile to generate the template search result.

Abstract: There is provided an image processing apparatus including a weight generating section that generates weight data in which a weight of a first region is larger than a weight of a second region, where the first region has a larger difference between a target image and at least one of a plurality of to-be-selected images than the second region, a calculating section that calculates a degree of similarity between the target image and each of two or more of the plurality of to-be-selected images with a difference between the target image and the to-be-selected image being weighted in each region in accordance with the weight data, and an image selecting section that selects, from the two or more to-be-selected images, one or more to-be-selected images that are more similar to the target image by referring to the degrees of similarity of the two or more to-be-selected images.

Abstract: An alignment template goodness qualification method receives a pattern image and a pattern based alignment template and performs template goodness measurement using the pattern image and the pattern based alignment template to generate template goodness result output. A template qualification is performed using the template goodness result to generate template qualification result output. If the template qualification result is acceptable, the pattern based alignment template is outputted as the qualified pattern based alignment template. Otherwise, an alternative template selection is performed using the pattern image, the pattern based alignment template and the template goodness result to generate alternative pattern based alignment template output. The template goodness measurements include signal content measurement, spatial discrimination measurement and pattern ambiguity measurement.

Abstract: A method enabling easy generation of a template handling pattern deformation due to optical conditions or process conditions and suitably detecting pattern position is disclosed. A first method extracts a feature component, that is, symmetry, not affected by optical conditions etc. from the pattern image information and uses it as a template. At the time of pattern detection, image information is projected into a symmetry feature space and matching performed in the feature space to detect a pattern. Suitable template matching can be performed with being affected by pattern deformation. A second method generates a model of a pattern from input pattern data, calculates a plurality of pattern images (virtual models) obtained by imaging of the model for each imaging condition using an image deformation simulator, and determines a template considering their average or correlation.

Abstract: A partition pattern template generation method for alignment receives a learning image and performs partition template generation using the learning image to generate a plurality of partition template result output. A partition template acceptance test is performed using the plurality of partition template results to generate partition templates or failure result. A partition template search method for alignment receives an alignment image and partition templates and performs a plurality of template search steps to generate a plurality of matching scores output. A partition integration method is performed using the plurality of matching scores to generate a partition template search result. A partition integration error self checking method receives a preliminary template search result position and a plurality of the matching scores. A matching score profile comparison is performed using the plurality of the matching scores and the expected matching score profile to generate the template search result.

Abstract: A device capable of being operated by remote control for driving a part on a vehicle uses an ultrasonic linear actuator as a source for driving the part on a vehicle. An ultrasonic linear actuator neither produces electromagnetic noises nor is influenced by electromagnetic noises, which is useful for electronization of parts on a vehicle.