Research Article
Point Target Detection Based on Quantum Genetic Algorithm with Morphological Contrast Operation
@INPROCEEDINGS{10.1007/978-3-030-32216-8_44, author={Guofeng Zhang and Askar Hamdulla}, title={Point Target Detection Based on Quantum Genetic Algorithm with Morphological Contrast Operation}, proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings}, proceedings_a={SIMUTOOLS}, year={2019}, month={10}, keywords={Structural elements Quantum genetic algorithm Morphological contrast operation Background suppression}, doi={10.1007/978-3-030-32216-8_44} }- Guofeng Zhang
Askar Hamdulla
Year: 2019
Point Target Detection Based on Quantum Genetic Algorithm with Morphological Contrast Operation
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_44
Abstract
Robust small target detection of infrared clutter background has drawn great interest of scholars. Recently, morphological filter is playing a significant role in detecting infrared point target. Generally, the background clutter and targets are diverse in the case of each image. Traditional fixed structural elements cannot acquire to successful point target detection in complex background. Therefore, a new method is introduced based on quantum genetic algorithm to optimize and obtain structural element which is used as morphological filter for point target detection in original Infrared images. Then, morphological contrast operation is proposed to enhance areas of point targets after the filtered image is obtained. Thus, an enormous background clutter and noise are suppressed and the contrast between target and background are observably increased. Finally, by setting proper threshold, the point targets can be detected perfectly. Experimental evaluation results show that the proposed method is effective and robust with respect to detection accuracy.