: Mean shape-gain vector quantization (MSGVQ) is extended to include negative gains and square isometries. Square isometries together with a classi cation technique based on averag...
In this paper we propose the gradient match fractal vector quantizers (GMFVQs) and the side match fractal vector quantizers (SMFVQs), which are two classes of finite state fractal...
Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast canc...
The problem of storage or transmission of codevectors is an essential issue in vector quantization with custom codebook. The proposed technique for compression of codebooks relies ...