A target-based color space for sea target detection
Applied Intelligence
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An new approach based on Kathumem-Loeve(K-L) transform and improved Fuzzy C means algorithm for human face detection is proposed. In the method, the image space is partitioned to primary space and subordinate space by K-L transform, by which the human face can be detected from complex scene coarsely, but how to obtain a reasonable threshold become a key problem. Generally, most scholars adopt the value of experience to distinguish face image. In this paper, in order to estimate human face, an improved Fuzzy C Means method is used to classify the Euclidean distance calculated by K-L transform. The result of the experiment shows that this approach can solve the problem of human face detection in scale, location, orientation and pose from complex scene.