X-ray image enhancement based on fuzzy sure entropy in LabVIEW
Ce Li, Yannan Zhou, Chengsu Ouyang, Lihua Tian · 2012
Image enhancement is an important problem in image processing and image analysis, especially for low quality X-ray images with both low-illumination and low-contrast. This paper proposes a novel X-ray image enhancement method, which utilizes the maximum fuzzy sure entropy, fuzzy c-partition, and involutive fuzzy complements. In our proposed method, an image is partitioned into dark part and bright part by fuzzy c-partition and the involutive fuzzy complements are obtained, then the exhausted search approach is used to attain the optimal pair and based on the maximum fuzzy sure entropy. In a LabVIEW system platform, many X-ray images have been experimented by the proposed method, and the comparisons of those experimental results show that the proposed scheme has better performance over the traditional algorithms.