A Threshold Segmentation Method for Infrared Image of High Speed Combustion Field

  • Yong Zhao, Guolu Ma, Zijun Song, Anding Li

Abstract

In the temperature analysis of high speed combustion Field, the infrared image should usually be segmented with multi thresholds on the basis of analysis target adaptively. However, the traditional image segmentation method can hardly satisfy the requirement of separating different temperature areas from the high speed combustion field. According to the characteristics of the high speed combustion field, a multi-threshold segmentation method is put forward. The method is based on the histogram analysis, which can segment the infrared image effectively by integrating the FCM algorithm in it. The image analysis results show that the method can fulfill the requirement of the temperature analysis of high speed combustion field, and is suitable to promote in the relative fields.

How to Cite
Yong Zhao, Guolu Ma, Zijun Song, Anding Li. (1). A Threshold Segmentation Method for Infrared Image of High Speed Combustion Field. Forest Chemicals Review, 729-742. Retrieved from http://forestchemicalsreview.com/index.php/JFCR/article/view/1163
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Articles