Medical image segmentation method based on quantum-behaved particle swarm cooperative optimization
A quantum particle swarm, medical image technology, applied in the field of collaborative quantum particle swarm optimization, can solve the problems of stagnant evolution, trapping, local optimal state, etc., achieve short time, improve segmentation accuracy, and increase the chance of jumping out of local optimal. big effect
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[0036] The present invention will be further described below in conjunction with the accompanying drawings.
[0037] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0038] Step 1, read in the medical image, obtain the matrix, and obtain the minimum gray value and maximum gray value from the matrix;
[0039] Step 2, initialize the population: randomly generate an integer between the minimum gray value and the maximum gray value as the first dimension of the population individual, and randomly generate an integer between the first dimension and the maximum gray value as the first dimension of the population individual Two-dimensional, and so on, each dimension is randomly generated from the previous dimension obtained by initialization to the maximum gray value, and the initialization of all population individuals is completed, and the individual dimension ranges from 1 to 4. In the embodiment of the present invention, the dimen...
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