Visualization of computational image feature descriptors.

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Presentation transcript:

Visualization of computational image feature descriptors. Visualization of computational image feature descriptors. A T1-weighted brain tumor section (A and B) is displayed, and feature visualizations (C–E) are given of LBP (C), HOG (D), and SIFT (E) descriptors. LBP quantifies local pixel structures through a binary coding scheme. HOG computes block-wise histogram gradients with multiple orientations. SIFT detects distributed key points with radius on tumor images. These multiparametric features create a rich image-driven data base to characterize tumors in MR imaging at different scales. M. Zhou et al. AJNR Am J Neuroradiol 2018;39:208-216 ©2018 by American Society of Neuroradiology