Studies On Segmentation Methods Of Animal Marrow Cells Image

Aiming at the fact that there are no existing methods of analysis and recognition for animal marrow pathology image in animal medical field, and segmentation is one of the key procedures in digital image processing field and the basis of correct classification and recognition, this paper has a research on segmentation methods of animal marrow cells image according to various theories and algorithms. Produces an improved median filter algorithm for better denoising. Provides a multi-threshold cell segmentation method for solving the difficult problems choosing the threshold because there is no obvious apex and valley value in marrow cell slice image histogram based on spacial scale filter. This paper also integrates the wavelet analysis and blurring C clustering analysis. At the same time, we can segment the directional image by detecting and adding priority in different direction and scale using two-dimension continuous GAUSS wavelet transform. By adopting erosion and dilation algorithm, this paper provides a good algorithm for marrow cells image segmentation. Aiming at the over-segmentation phenomenon produced by using watershed algorithm, this paper improves this algorithm in virtue of a panel. We can get the continuous loop curves by taking active profile model into withdrawing nucleolus profile curves according to the discontinuous cell profile curves obtained by using multi-scale grade operator. Does a research on segmentation methods of animal marrow cells image based on morphology. We can replace the HOLDER exponent by a simple calculation method and find a suitable segmentation threshold by calculating its multi-fractal spectrum. Provides a genetic clustering algorithm on entropy and applies it into marrow cells image segmentation by taking entropy in information science as fitness function based on standard genetic algorithm and clustering analysis.