Tissues segmentation based on multi spectral medical images

Ya Li; Ying Wang

doi:10.1117/12.2295670

15 November 2017 Tissues segmentation based on multi spectral medical images

Ya Li, Ying Wang

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106053D (2017) https://doi.org/10.1117/12.2295670
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

Each band image contains the most obvious tissue feature according to the optical characteristics of different tissues in different specific bands for multispectral medical images. In this paper, the tissues were segmented by their spectral information at each multispectral medical images. Four Local Binary Patter descriptors were constructed to extract blood vessels based on the gray difference between the blood vessels and their neighbors. The segmented tissue in each band image was merged to a clear image.

Citation Download Citation

Ya Li and Ying Wang "Tissues segmentation based on multi spectral medical images", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053D (15 November 2017); https://doi.org/10.1117/12.2295670

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