[HTML][HTML] The Application of Tsallis Entropy Based Self-Adaptive Algorithm for Multi-Threshold Image Segmentation

K Zhang, M He, L Dong, C Ou - Entropy, 2024 - mdpi.com
Tsallis entropy has been widely used in image thresholding because of its non-extensive
properties. The non-extensive parameter q contained in this entropy plays an important role …

Otsu-Based Differential Evolution Method for Image Segmentation

A Shaikh, B Sharmila, M Krishna, S Kumar - International Conference on …, 2022 - Springer
This paper proposes an OTSU-based differential evolution method for satellite image
segmentation and compares it with four other methods as Modified Artificial Bee Colony …

Improved glowworm swarm optimization algorithm applied to multi-level thresholding

SA Ludwig - 2016 IEEE Congress on Evolutionary Computation …, 2016 - ieeexplore.ieee.org
Image segmentation is considered an important basic task in the analysis and
understanding of images. The process of image segmentation involves the partitioning of an …

[HTML][HTML] A non-entropy based optimal multilevel threshold selection technique forCOVID-19 X-ray images using chance based birds' intelligence

G Das, M Swain, R Panda, MK Naik, S Agrawal - 2022 - europepmc.org
Recently, image thresholding methods based on various entropy functions have been found
popularity. Nonetheless, entropic based methods depend on the spatial distribution of the …

[PDF][PDF] Implementation strategies for the cuckoo search and the African buffalo optimization for the benchmark Rosenbrock function

JB Odılı, A Noraziah, R Ambar… - … Eurasia Proceedings of …, 2018 - dergipark.org.tr
The introduction of five benchmark global optimization test functions by De Jong has
remained prominent in Mathematics and Computer Science for over three decades now …

[引用][C] Simplified Expression and Recursive Algorithm of Multi-Threshold Tsallis Entropy

W Shaoxun, F Jiulun - Available at SSRN 4163280