Abstract
There are many methods of clustering that have been used to divide images. k-means algorithm is considered the most popular method of cluster analysis. Due to disadvantages of k-means algorithm, in this paper, the image is segmented using modified genetic algorithm (GA) by k-means algorithm; where k-means is used as an initialization of GA. The proposed algorithm was applied to several of cell blood images from microscope and the results showed that the value of PSNR for the proposed algorithm is higher than other algorithms, which indicates its efficiency in image segmentation.
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CITATION STYLE
Ayoub, A. Y., El-Shorbagy, M. A., El-Desoky, I. M., & Mousa, A. A. (2020). Cell Blood Image Segmentation Based on Genetic Algorithm. In Advances in Intelligent Systems and Computing (Vol. 1153 AISC, pp. 564–573). Springer. https://doi.org/10.1007/978-3-030-44289-7_53
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