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    • 7. 发明专利
    • METHOD AND DEVICE FOR RETRIEVING OBJECT IN IMAGE
    • JPH11102439A
    • 1999-04-13
    • JP26297997
    • 1997-09-29
    • NIPPON TELEGRAPH & TELEPHONE
    • ARAI HIROYUKIKURAKAKE MASAHARUOGURA KENJI
    • G06T7/00G06T1/00
    • PROBLEM TO BE SOLVED: To provide a method and a device which can retrieve an object in an image with high accuracy. SOLUTION: First, a timewise distribution of colors in a retrieval key image of an object is examined and it is decomposed into plural parts (1). Next, the retrieval key image and a retrieval object image are divided into blocks, and a color histogram for each block is calculated (2). Then, a part image that shows the certainty in which each point in the retrieval key image and the retrieval object image belonging to each of the parts is produced by color histogram matching that reflects color similarity (3). An adjacent histogram that represents arrangement relation of the parts is calculated by using the part image (4). Next, the certainty value of the part image which is created from the retrieval object image is updated by using an adjacent histogram, thus the effects of background is reduced (5). Finally, the existence of the object in the retrieval object image is discriminated (7) by collating the adjacent histogram (6) that is calculated from the retrieval key image and a part image of the updated retrieval object image.
    • 8. 发明专利
    • METHOD FOR RETRIEVING IMAGE AND VIDEO
    • JPH10301948A
    • 1998-11-13
    • JP10870197
    • 1997-04-25
    • NIPPON TELEGRAPH & TELEPHONE
    • ARAI HIROYUKIKURAKAKE MASAHARUODAKA KAZUMI
    • G06F17/30G06T1/00
    • PROBLEM TO BE SOLVED: To attain more accurate subject retrieval and stable subject retrieval independent of the size of each subject. SOLUTION: An image example presented as a retrieving key is decomposed to plural components by checking the spatial distribution of colors in the image example (1). Then the image example and an image to be retrieved are respectively divided into plural rough blocks and color histograms in respective blocks are calculated (2). As to the image example and the image to be retrieved, color histograms in respective blocks are compared with respective components, blocks constituting a certain component are extracted and hierarchically superposed to generate a component image indicating an area constituting the component (3). Then adjacent histograms expressing the arrangement relation of components as histograms are calculated by using these component images (4). Finally the adjacent histograms obtained from the image example are collated with the adjacent histograms obtained from the image to be retrieved to judge the existence of a subject in the image to be retrieved (5).
    • 9. 发明专利
    • HANDWRITTEN CHARACTER RECOGNIZING METHOD
    • JPH02236694A
    • 1990-09-19
    • JP5618189
    • 1989-03-10
    • NIPPON TELEGRAPH & TELEPHONE
    • KURAKAKE MASAHARU
    • G06K9/62
    • PURPOSE:To reflect the relation among characteristics as many as a statistically sufficient number on a recognizing processing and recognizing the relation by using a generation model. CONSTITUTION:A distance calculating part 4, which compares a recognition objective character pattern with a non-linear generated model at every character category of a memory 3, of a generated model structure and a parameter, that stores the non-linear generated model structure from plural samples at every character category by obtaining the parameter beforehand, and calculates the distance, is provided. Further the form of the generated model is obtained by combining a non-linear mean pattern reference type and a non-linear self- regression type, and based on the data obtained at every character category beforehand, an optimal structure/parameter value is determined by a statistic evaluation reference. Further the distance of the recognition objective character pattern up to each character category is defined as the deviation of each character category from the non-linear generated model. Thus the character can be recognized in the correct character category.