An image segmentation method for caged laying hens based on improved active contour model
An active contour model and image segmentation technology, applied in the field of image segmentation of caged laying hens, can solve the problems of sensitive initial contour setting, time-consuming, low segmentation efficiency, etc., and achieve the effect of eliminating the effect of cage occlusion
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[0056] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0057] like figure 1 The steps shown, the specific implementation process of the present invention is as follows:
[0058] 1) Set the initialization parameters, including the square local window Ω x The center pixel x and width w, the average kernel function K σ and G σ , the structuring element b, the parameter ε of the Dirac function, the iteration step Δt.
[0059] 2) Read the original image I of caged laying hens, such as figure 2 As shown, extract the S-component image I of the original image I of caged laying hens in the HSV color space s :Ω, such as image 3 shown.
[0060] 3) Use the standard k-means clustering method to divide the square local window Ω x The image pixels are divided into two types of regions according to the gray value Ω s and Ω l , and traverse the S-component image to get the area Ω s and Ω l The two class center f...
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