An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix

作者：

Highlights：

• This paper introduces gray-level co-occurrence matrix (GLCM) based color image Segmentation.

• Cuckoo search (CS) is used in order to effectively enhance the optimal multilevel thresholding.

• CS based GLCM was found to be more accurate for colored satellite image segmentation.

• The feasibility of the proposed approach has been tested on various natural and satellite images.

摘要

•This paper introduces gray-level co-occurrence matrix (GLCM) based color image Segmentation.•Cuckoo search (CS) is used in order to effectively enhance the optimal multilevel thresholding.•CS based GLCM was found to be more accurate for colored satellite image segmentation.•The feasibility of the proposed approach has been tested on various natural and satellite images.

论文关键词：Gray level co-occurrence matrix,Cuckoo search algorithm,Color images,Multilevel thresholding,Image segmentation

论文评审过程：Received 15 December 2016, Revised 12 June 2017, Accepted 12 June 2017, Available online 15 June 2017, Version of Record 23 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.021