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K. Rodenacker and P. Aubele, “Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence in Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma,” Analytical Cellular Pathology, Vol. 15, No. 1, 1997, pp. 19-29.

has been cited by the following article:

• TITLE: Adaptive Gradient-Based and Anisotropic Diffusion Equation Filtering Algorithm for Microscopic Image Preprocessing

  AUTHORS: Hailing Liu

  KEYWORDS: Microscopic Image; Image Preprocessing; Anisotropic; Gradient-Based

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.1, February 27, 2013

  ABSTRACT: In image acquisition process, the quality of microscopic images will be degraded by electrical noise, quantizing noise, light illumination etc. Hence, image preprocessing is necessary and important to improve the quality. The background noise and pulse noise are two common types of noise existing in microscopic images. In this paper, a gradient-based anisotropic filtering algorithm was proposed, which can filter out the background noise while preserve object boundary effectively. The filtering performance was evaluated by comparing that with some other filtering algorithms.