Our work proposed a new image segmentation method for infrared image using histogram of oriented gradients (HOG) feature and kernel extreme learning machine (kernel ELM). HOG are feature descriptors which can be used in computer vision and image processing for the purpose of object detection. In this paper, we extract HOG feature of infrared image, and use this feature as the basis for classification. After having feature, we use kernel extreme learning machine to do the segmentation. Kernel extreme learning machine has shown many excellent characteristics in classification. By testing our algorithm proposed in our paper, we demonstrated that our algorithm is effective and feasible.
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Ying Liang, Luping Wang, Luping Zhang, "Infrared image segmentation using HOG feature and kernel extreme learning machine ," Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751B (8 October 2015);