Application of cuckoo search algorithm for texture recognition based on water areas

Kangbo Peng; Zhongwei Chen; Lai Huang; Xiaozhong Wu

doi:10.1117/12.2503078

9 August 2018 Application of cuckoo search algorithm for texture recognition based on water areas

Kangbo Peng, Zhongwei Chen, Lai Huang, Xiaozhong Wu

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080620 (2018) https://doi.org/10.1117/12.2503078
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

Texture recognition is a key topic in many applications of image analysis; many techniques have been proposed to measure the characteristics of this field. Among them, texture energy extracted with the “Tuned” mask is a rotation and scale invariant texture descriptor. However, the tuning process is computationally intensive and easily to trap into local optimum. In the proposed approach, how to obtain the “Tuned” mask is viewed as a combinatorial optimization problem and the optimal mask is acquired by maximizing the texture energy value via a newly proposed cuckoo search (CS) algorithm. Experimental results on samples and images show that the proposed method is suitable for texture recognition, the recognition accuracy is higher than genetic algorithm (GA) and particle swarm optimization (PSO) optimized “Tuned” mask scheme, and the water areas can be well recognized from the original image. It is a robust and efficient method to obtain the optimal “Tuned” mask for texture analysis.

Citation Download Citation

Kangbo Peng, Zhongwei Chen, Lai Huang, and Xiaozhong Wu "Application of cuckoo search algorithm for texture recognition based on water areas", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080620 (9 August 2018); https://doi.org/10.1117/12.2503078

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