Edge magnitude based multilevel thresholding using Cuckoo search technique

作者：

Highlights：

• Edge magnitudes from GLCM are used for multilevel thresholding.

• New objective functions are derived and proposed.

• A meta-heuristic search algorithm called Cuckoo search algorithm is used to optimize edge magnitudes.

• Optimum threshold values are obtained corresponding to the edge magnitudes.

• Results are compared with histogram based between class variance method for multilevel thresholding.

摘要

•Edge magnitudes from GLCM are used for multilevel thresholding.•New objective functions are derived and proposed.•A meta-heuristic search algorithm called Cuckoo search algorithm is used to optimize edge magnitudes.•Optimum threshold values are obtained corresponding to the edge magnitudes.•Results are compared with histogram based between class variance method for multilevel thresholding.

论文关键词：Co-occurrence matrix,Multilevel thresholding,Cuckoo search technique

论文评审过程：Available online 25 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.060