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Proceedings Paper

A two-stage framework for DIC image denoising and Gabor based GLCM feature extraction for pre-cancer diagnosis
Author(s): Sabyasachi Mukhopadhyay; Sawon Pratiher; Sukanya Mukherjee; Debdeep Dasgupta; Nirmalya Ghosh; Prasanta K. Panigrahi
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Paper Abstract

In this paper a novel two-stage adaptive framework for denoising of differential interference contrast (DIC) images followed by Gabor based gray-level co-occurrence matrix (GLCM) feature extraction methodology is proposed. The first stage consists of a hybrid cascade of anisotropic diffusion denoising (Perona–Malik diffusion) and unsharp masking (USM) based detail enhancement filter to remove noise from DIC images without losing significant morphological features of healthy and precancerous tissues while enlarging the image sharpness. The hybrid filter parameters are obtained by joint stochastic optimization of the image quality metrics. The estimated denoised image with the highest signal to noise ratio (SNR) from Stage I, is used for subsequent textural feature extraction. GLCM window considers neighborhood blocks with similar local statistics with well-preserved local structures between a pixel texture and its nearest neighbors. The efficacy of our denoised DIC imaging with Gabor based GLCM feature descriptors in analysis of healthy and precancerous tissues is experimentally validated for its competitive denoising performance and detail structure preservation of DIC images. The relative change in magnitude and phase information as manifested from Gabor filter coupled with GLCM based spatial statistical measures of tissues as cancer progress validates the adequacy of the proposed scheme for its early stage cancer detection ability in cervical tissues.

Paper Details

Date Published: 4 June 2018
PDF: 5 pages
Proc. SPIE 10505, High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management, 1050512 (4 June 2018); doi: 10.1117/12.2291538
Show Author Affiliations
Sabyasachi Mukhopadhyay, Indian Institute of Science Education and Research Kolkata (India)
Sawon Pratiher, Indian Institute of Technology Kanpur (India)
Sukanya Mukherjee, Univ. of Engineering & Management (India)
Debdeep Dasgupta, Amity Univ. (India)
Nirmalya Ghosh, Indian Institute of Science Education and Research Kolkata (India)
Prasanta K. Panigrahi, Indian Institute of Science Education and Research Kolkata (India)


Published in SPIE Proceedings Vol. 10505:
High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management
Kevin K. Tsia; Keisuke Goda, Editor(s)

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