New automatic target recognition approach based on Hough transform and mutual information

New automatic target recognition approach based on Hough transform and mutual information

Автор: Ramy M. Bahy

Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp

Статья в выпуске: 3 vol.10, 2018 года.

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This paper presents a new automatic target recognition approach based on Hough transform and mutual information. The Hough transform groups the extracted edge points in edged images to an appropriate set of lines which helps in features extraction and matching processes in both of target and stored database images. This gives an initial indication about realization and recognition between target image and its corresponding database image. Mutual information is used to emphasize the recognition of the target image and its verification with its corresponding database image. The proposed recognition approach passed through five stages which are: edge detection by Sobel edge detector, thinning as a morphological operation, Hough transformation, matching process and finally measuring the mutual information between target and the available database images. The experimental results proved that, the target recognition is realized and gives more accurate and successful recognition rate than other recent recognition techniques which are based on stable edge weighted HOG.

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Target Recognition, Mutual Information, Hough Transform

Короткий адрес: https://sciup.org/15015945

IDR: 15015945   |   DOI: 10.5815/ijigsp.2018.03.03

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