DSP Implementation for Textured Surface Inspection, ICSPAT'98 konferansina gönderildi, 1998

Authors: Alper Baykut, Alper Atalay, Aytul Ercil, Mustafa Guler

ABSTRACT - Texture analysis plays an important role in the automated visual inspection of texture images to detect their defects. For this purpose, model-based and feature-based methods are implemented and tested for textile images in a laboratory environment. The methods are compared in terms of their success rates in determining the defects. The Markov Random Field (MRF) model is applied on different DSP architectures to be able to apply the system for real-time inspection.

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Last modified: 04-04-2001