Edge-detection of IR ship images based on soft morphology

Yan-zhi Dong; Xiao-dong Zhou; Tong-sheng Shen; Shu-li Lou

doi:10.1117/12.501300

19 November 2003 Edge detection of IR ship images based on soft morphology

Yan-zhi Dong, Xiao-dong Zhou, Tong-sheng Shen, Shu-li Lou

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.501300
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

The target detection of IR images is important in imaging precise guidance. The effect of the edge detection determines the accuracy and result of following processing directly. So it is a key step to recognize and segment the targets accurately and quickly. Because of the low target to background contrast, blurred edge and stronger noise in the infrared images, the traditional linear methods cannot get better processing result for they cannot compress the noise effectively. But the soft mathematical morphology can compress the noise effectively, detect the targets better, and complete processing in real time. So it is well adapted to infrared images processing. In this paper, we employed suitable structuring system based on the soft morphology theory and threshold theory to detect the edge of actual ship infrared image. All the images processing were simulated by MATLAB software. We discussed the merits and the shortcomings of the algorithm and listed some processing results. We also compared the algorithm with other traditional edge detection operators such as Robert;Prewitt and Sobel. The simulations results demonstrate that the algorithm is better than the traditional operators and can satisfy the requirements of the IR image edges detection. So the algorithm is of importance in practicality.

Citation Download Citation

Yan-zhi Dong, Xiao-dong Zhou, Tong-sheng Shen, and Shu-li Lou "Edge detection of IR ship images based on soft morphology", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.501300

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