Improved segmentation method of 2-D Otsu infrared image

ZHANG Jianbo; YANG Huixian; ZHOU Tongtong; TAN Zhenghua; LI Miao

doi:10.7510/jgjs.issn.1001-3806.2014.05.029

In order to gain better segmentation result of infrared images, and improve the ability to resist noise, an improved 2-D Otsu method was proposed. The inaccurate segmentation in the 2-D gray-neighborhood average histogram was analyzed, and 2-D gray-gradient histogram was adopted. A new algorithm to gain neighborhood average value was put forward. Information of within-cluster was added to amend threshold function, which was further simplified to reduce the calculation complex. Experiments show that the improved method can segment the target better, gain better noise resistance and cost less time.

Improved segmentation method of 2-D Otsu infrared image

Corresponding author: YANG Huixian, yanghx87@163.com;

1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China;

2. Faculty of Material and Photoelectronic Physics, Xiangtan University, Xiangtan 411105, China

Received Date: 2013-09-03

Accepted Date: 2013-10-16

Available Online: 2014-09-25

Abstract: In order to gain better segmentation result of infrared images, and improve the ability to resist noise, an improved 2-D Otsu method was proposed. The inaccurate segmentation in the 2-D gray-neighborhood average histogram was analyzed, and 2-D gray-gradient histogram was adopted. A new algorithm to gain neighborhood average value was put forward. Information of within-cluster was added to amend threshold function, which was further simplified to reduce the calculation complex. Experiments show that the improved method can segment the target better, gain better noise resistance and cost less time.

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Reference (14)

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Improved segmentation method of 2-D Otsu infrared image

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