FEATURE EXTRACTION OF SEWER PIPE DEFECTS USING WAVELET TRANSFORM AND CO-OCCURRENCE MATRIX

DOI10.1142/S0219691311004055zbMath1281.68222OpenAlexW1970017266MaRDI QIDQ3007751

Pei Liu, Tung-Ching Su, Ming-Der Yang, Nang-Fei Pan

Publication date: 17 June 2011

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691311004055

zbMATH Keywords

feature extractiongray-level co-occurrence matrixCCTV imageswavelet transform (WT)

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

TEXTURE ANALYSIS USING GAUSSIAN GRAPHICAL MODELS

Cites Work

• EXTRACTION OF NOISE TOLERANT, GRAY-SCALE TRANSFORM AND ROTATION INVARIANT FEATURES FOR TEXTURE SEGMENTATION USING WAVELET FRAMES
• A WAVELET-BASED IMAGE QUALITY ASSESSMENT METHOD
• MULTIRESOLUTION SIGNAL DECOMPOSITION AND APPROXIMATION BASED ON SUPPORT VECTOR MACHINES
• A NEW DISCRETE WAVELET TRANSFORM FAST ALGORITHM WITH RATIONAL DILATION FACTOR
• WAVELET-BASED ARTIFICIAL LIGHT RECEPTOR MODEL FOR HUMAN FACE RECOGNITION
• A WAVELET-BASED PERCEPTUAL IMAGE CODER INCORPORATING A NEW MODEL FOR COMPRESSION OF COLOR IMAGES
• WAVELET DESCRIPTORS FOR RECOGNITION OF BASIC SYMBOLS IN PRINTED KANNADA TEXT

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