Intel Corporation

Ajay K Ray

Tinku Acharya

A K V Subba Rao

Tamalika Chaira

Embodiments of a color image matching scheme are disclosed. In one embodiment, a pixel intensity count is determined for color components of color images in a database and for a query color image. A fuzzy similarity and/or a fuzzy dissimilarity between the query image and the database images is computed based at least in part on the pixel intensities counts. An image is selected from the database based at least in part on the computed fuzzy similarity and/or dissimilarity, where computing a fuzzy similarity and/or dissimilarity includes computing the matching intensity. Other embodiments are described and claimed.

Image color matching scheme

Embodiments of a fuzzy based thresholding technique for image segmentation are disclosed.

Fuzzy based thresholding technique for image segmentation

Embodiments of a fuzzy distinction based thresholding technique for image segmentation are disclosed. In one embodiment, at least one signal value level of the image is determined along which to divide a fuzzy histogram, the histogram being based, at least in part, on the image. The signal value represents a value which produces a divided fuzzy histogram with an extreme value of one of distinctiveness and fuzziness based on a measure of multidimensional distance between measurement distributions and their respective complements. The image is then segmented using the at least one signal value.

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West Bengal, India

Ajay K Ray