Grapefruit image segmentation method applying adaptive gauss and acoustic search
An image segmentation and adaptive technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve the problem of getting trapped in local extrema, improve segmentation accuracy, improve search performance, and reduce trapped in local extremum. effect of probability
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[0051] Examples:
[0052] Step 1. Use the image acquisition device to collect a picture such as figure 1 Then convert the image IMG to the image IMGN in the YCrCb color space, and extract the Cb color component of the image IMGN as clustering data;
[0053] Step 2: The user initializes the parameters, sets the size of the harmony library HMS=30, the number of division categories D=2, and the maximum number of evaluations MAX_FEs=120;
[0054] Step 3. Set the current evolution algebra t=0, the current evaluation times FEs=0, and select the probability HMCR t =0.9, the probability of disturbance PAR t =0.5;
[0055] Step 4. Randomly generate an initial harmony library Among them: individual subscript i = 1, 2,..., HMS; individual Harmony Bank M t The i-th individual in and the individual Store the cluster centers of D segmentation categories; For individuals The clustering center of the j-th segmentation category in and according to formula (1) To initialize:
[0056]
[0057] Amon...
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