Abstract
It is important to enhance the contrast and remove the speckle noise for optical coherence tomography (OCT) images. In this paper, we propose a selective retinex enhancement method based on the fuzzy c-means (FCM) clustering algorithm to enhance only the structure part in OCT images and combines with the block-matching 3D (BM3D) algorithm for filtering. In the proposed selective retinex enhancement method, we first calculate the feature image of the original image, which includes the mean value and standard deviation of each pixel in the original image and its correlation image. Second, by applying the FCM clustering algorithm to the feature image, a mask is generated that can distinguish the structure part from the background part in the OCT image. Then, the mask is applied to the multi-scale retinex algorithm, and only the structure part in the OCT image is enhanced. Moreover, the BM3D method is applied to filter the enhanced image. Experimental results demonstrate that the proposed method performs impressively in improving the contrast and removing the speckle noise of OCT images, and it provides better quantitative performance in terms of signal-to-noise ratio, contrast-to-noise ratio, equivalent number of looks, and the edge preservation parameter $ \beta $.
© 2019 Optical Society of America
Full Article | PDF ArticleMore Like This
Zongheng Huang, Chen Tang, Min Xu, Yuxin Shen, and Zhenkun Lei
Appl. Opt. 59(35) 11087-11097 (2020)
Shengjian Huang, Chen Tang, Min Xu, Yue Qiu, and Zhenkun Lei
Appl. Opt. 58(23) 6233-6243 (2019)
Zhengjie Shen, Manhui Xi, Chen Tang, Min Xu, and Zhenkun Lei
Appl. Opt. 60(15) 4345-4355 (2021)