| 摘要 |
For determining class mean and covariance in class so as to make distribution parameters of pixels express statistical properties of the object, and for clustering the image stably at high speed, the apparatus has: (a) frame memory storing image composed of coded pixels, (b) reading device for reading out values of pixels randomly about horizontal and vertical positions from the frame memory, and generating a sample vector containing coupling of read out pixels values and corresponding horizontal and vertical position data, (c) memory for holding a plurality of sets of covariance matrix and mean vector of sample vector as class data, (d) likelihood calculating circuit calculating likelihood of sample vector to plural sets of class data as the distance between sample classes which is sum of a distance obtained by normalizing difference of sample vector and mean vector by covariance matrix, and a magnitude of covariance matrix, (e) maximum likelihood class selecting device selecting set minimizing distance between sample classes among combinations of class data, and (f) class data changing device sequentially changing mean vector and covariance matrix composing class data in direction of reducing distance between sample classes, by using difference vector of sample vector and mean vector.
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