| 摘要 |
For determining class mean and covariance in class so as to make distribution parameters of pixel 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 reading out values of pixels randomly about horizonta land vertical positions from frame memory, and generating a sample vecto r containing coupling of read out pixels values and corresponding horizontal and vertical positions,(c) memory for holding 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 distance between sample classes which is sum of; a distance obtaied 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. <IMAGE> |
