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13 October 2008 Marker based watershed to segment dim infrared target through image enhancement
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A novel marker based watershed through image enhancement is proposed to segment the dim infrared target. The dim infrared target is firstly enhanced by CB top-hat transformation and image quantization. Then, the accurate marker of the target can be easily obtained through image binarisation and marker filtering. To calculate an efficient gradient image of the dim target for the watershed segmentation, the gradient image is firstly calculated through Sobel operator and then efficiently enhanced through pseudo top-hat transformation and gradient quantization. Because of the enhancement of the dim target and the gradient image, the watershed can efficiently segment the dim infrared image. Experimental results show that the proposed algorithm is much efficient for dim infrared target segmentation.
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Fugen Zhou, Xiangzhi Bai, Yongchun Xie, and Ting Jin "Marker based watershed to segment dim infrared target through image enhancement", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71280O (13 October 2008);

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