Abstract
Image segmentation is a major challenge in the field of image processing. Proper segmentation of medical image is difficult because of the size and position of the inhomogeneity in the tissues, blood flow and similar contrast to the wall. Thus, an automated approach is required to develop proper segmentation of the region of interest (ROI). This paper describes a Heuristic Image Segmentation Algorithm based on genetic algorithm optimization. OTSU algorithm is used for optimization. Threshold value of proposed method can be used for finding the ROI. A comparison has been made with other thresholding algorithms for supporting the better results.
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Mal, S., Kumar, A. (2020). Heuristic Approach for Finding Threshold Value in Image Segmentation. In: Mandal, J., Bhattacharya, D. (eds) Emerging Technology in Modelling and Graphics. Advances in Intelligent Systems and Computing, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-13-7403-6_6
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DOI: https://doi.org/10.1007/978-981-13-7403-6_6
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