Hitachi, Ltd.

Syoji Yoshida

Koyo Katsura

Shigeru Matsuo

Hiromichi Yamada

Haruo Yoda

Takashi Miyamoto

Takashi Hotta

Mitsuji Ikeda

Keisuke Nakashima

Tadashi Fukushima

Tooru Komagawa

Shigeru Shibukawa

An apparatus for calculating a normalized correlation coefficient used as a similarity evaluation measure by using image data values of pixels in a template image and image data values of pixels in a subimage, included in a search image, corresponding to the template image, has a memory that stores image data values of pixels in the search image and calculating means that calculate a sum of image data values of pixels in the template image and a sum of image data values of pixels in the first rectangular region in the search image or a sum of squares of image data values of pixels in the template image and a sum of squares of image data values of pixels in the first rectangular region in the search image. Normalized correlation coefficient calculating means calculate a normalized correlation coefficient on the basis of the sum of image data values of pixels in the template image and the sum of image data values of pixels in the first rectangular region in the search image, or the sum of squares of image data values of pixels in the template image and the sum of squares of image data values of pixels in the first rectangular region in the search image.

Statistic calculating method using a template and corresponding sub-image to determine similarity based on sum of squares thresholding

Microprocessor, and graphics processing apparatus and method using the same

An image processing apparatus obtains a sum A of image data values of pixels in a template image, a sum B of squares of image data values of pixels in a template image, a sum C of image data values of pixels in a sub-image to be processed, of a search image, a sum D of squares of image data values of pixels in the sub-image of the template image, further obtains a threshold value F in advance by using the obtained values A, B, C and D, the number P of pixels in the template image, and the preset value E. Moreover, the apparatus obtains a square of each difference between an image data value of each pixel in the sub-image and that of a corresponding pixel in the template image, and performs cumulative addition for each obtained squares. If the result of cumulative addition exceeds the above-mentioned threshold value, the apparatus closes processing evaluation of a similarity between the sub-image and the template image. Furthermore, the apparatus recursively obtains a moving-average value of image data values of pixels in a rectangular region to be presently processed, by using a moving-average value for a rectangular region which was previously processed and image data read from a first memory and a second memory, each memory stores image data by one line pixels of the image, which include image data of pertinent pixels in the rectangular regions.

Template matching image processor utilizing sub image pixel sums and sum of squares thresholding

A microprocessor for processing a large quantity of graphics data. The microprocessor independent of a CPU has two ports, and performs an instruction fetch and a data access or a memory access simultaneously to two memories mounted on separate buses. A graphics processing apparatus provided by the microprocessor transfers the graphics data between a system memory and a frame memory at high speeds.

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Hitachi, Japan

Syoji Yoshida