M-BAND WAVELETS: APPLICATION TO TEXTURE SEGMENTATION FOR REAL LIFE IMAGE ANALYSIS

DOI10.1142/S0219691303000074zbMath1044.94503OpenAlexW1969934200MaRDI QIDQ4472822

Malay K. Kundu, Mausumi Acharyya

Publication date: 1 July 2004

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/s0219691303000074

zbMATH Keywords

Texture segmentationdocument imageremotely sensed imageM-band wavelets

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (6)

Frame multiresolution analysis of continuous piecewise linear functions ⋮ EXTRACTION OF NOISE TOLERANT, GRAY-SCALE TRANSFORM AND ROTATION INVARIANT FEATURES FOR TEXTURE SEGMENTATION USING WAVELET FRAMES ⋮ Image coding based on multiband wavelet and adaptive quad-tree partition ⋮ ADAPTIVE SELECTIVITY REPRESENTATION: DESIGN AND APPLICATIONS ⋮ PERFORMANCE IMPROVEMENT IN SPREAD SPECTRUM IMAGE WATERMARKING USING WAVELETS ⋮ CONSTRUCTION OF WAVELET PACKETS ON p-ADIC FIELD

Cites Work

• Feature analysis: Neural network and fuzzy set theoretic approaches
• Local discriminant bases and their applications
• A theory for multiresolution signal decomposition: the wavelet representation
• Orthonormal bases of compactly supported wavelets
• Ten Lectures on Wavelets
• Wavelets and filter banks: theory and design
• Theory of regular M-band wavelet bases
• Entropy-based algorithms for best basis selection
• An adaptive approach to unsupervised texture segmentation using \(M\)-band wavelet transform

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