Title :
A survey of wavelet techniques and multiresolution analysis for cancer diagnosis
Author :
Ramaraj, M. ; Raghavan, S.
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Thiruchirappalli, India
Abstract :
The main goal of this paper is to show the prominent applications of the wavelet and multiresolution transform for cancer diagnosis system. Early detection and diagnosis of breast cancer helps the survival rate of the patient. Wavelet transform and the multiresolution analysis of the image processing techniques contribute to the vital role in the medical applications. Some of the image processing and transformation techniques that have been used on medical images for cancer diagnosis are reviewed. Previous studies on noise removal enhancement, texture analysis, edge detection and segmentation are also described with their working process and their advantages. Further, the definition of each method is provided.
Keywords :
biological tissues; cancer; edge detection; image denoising; image enhancement; image segmentation; image texture; medical image processing; wavelet transforms; breast cancer early detection; cancer diagnosis system; edge detection; image segmentation; image transformation; medical application; medical images; multiresolution analysis; multiresolution transform; noise removal enhancement; patient survival rate; texture analysis; wavelet transform; Cancer; Discrete wavelet transforms; Feature extraction; Image coding; Image edge detection; Cancer Diagnosis; Denoising; Edge Detection; Enhancement; Texture Classification; Wavelet Analysis;
Conference_Titel :
Computer, Communication and Electrical Technology (ICCCET), 2011 International Conference on
Conference_Location :
Tamilnadu
Print_ISBN :
978-1-4244-9393-7
DOI :
10.1109/ICCCET.2011.5762449
