TY - CHAP
T1 - Tsallis Entropy for Image Thresholding
AU - Oliva, Diego
AU - Abd Elaziz, Mohamed
AU - Hinojosa, Salvador
PY - 2019
Y1 - 2019
N2 - One interesting functional criterion for image thresholding is the Tsallis entropy, which gives excellent results in bi-level segmentation. However, when it is applied to multilevel thresholding, its evaluation becomes computationally expensive, since each threshold point adds restrictions, multimodality and complexity to its functional formulation. Therefore, in the process of finding the appropriate threshold values, it is desired to limit the number of evaluations of the objective function. Under such circumstances, most of the optimization algorithms do not seem to be suited to face such problems as they usually require many evaluations before delivering an acceptable result. This chapter introduces the use of evolutionary algorithms to improve segmentation process using the Tsallis entropy for search the best thresholds.
AB - One interesting functional criterion for image thresholding is the Tsallis entropy, which gives excellent results in bi-level segmentation. However, when it is applied to multilevel thresholding, its evaluation becomes computationally expensive, since each threshold point adds restrictions, multimodality and complexity to its functional formulation. Therefore, in the process of finding the appropriate threshold values, it is desired to limit the number of evaluations of the objective function. Under such circumstances, most of the optimization algorithms do not seem to be suited to face such problems as they usually require many evaluations before delivering an acceptable result. This chapter introduces the use of evolutionary algorithms to improve segmentation process using the Tsallis entropy for search the best thresholds.
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U2 - 10.1007/978-3-030-12931-6_9
DO - 10.1007/978-3-030-12931-6_9
M3 - Chapter
AN - SCOPUS:85062919689
T3 - Studies in Computational Intelligence
SP - 101
EP - 123
BT - Studies in Computational Intelligence
PB - Springer Verlag
ER -