Target Detection in Infrared Images Using Block-Based Approach
نویسنده
چکیده
A novel and simple method for identification of targets in infrared (IR) images is proposed in this chapter. The input image is divided into blocks of fixed size. The saliency map is extracted block-wise in three different ways. In the first approach, the entropy of each block is compared with the global entropy of the image. In the second approach, the energy of each block is compared with the global energy of the image. In the third approach, combined entropy and energy are used. Experimental results show that the combined approach of entropy and energy detects the targets accurately compared to the other two methods. The subjective results show the efficacy of the proposed approach. The objective evaluation measures show the high detection rate and low false alarm rate.
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