Image Texture, Texture Features, and Image Texture Classification and Segmentation
In this chapter, we will discuss the basic concept of image texture, texture features, and image texture classification and segmentation. These concepts will be the foundation to understand image…
Image Texture Analysis: Foundations, Models and Algorithms
Research of multi-focus image fusion based on M-band multi-wavelet transformation
- H. Ren, Yihua Lan, Yong Zhang
- Computer ScienceThe Fourth International Workshop on Advanced…
- 1 October 2011
The result indicates that multi-band multi-wavelet is very effective in image fusion, and the method is based on anisotropic diffusion arithmetic based on partial differential equations.
Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
A Hybrid Classifier for Mammography CAD
- Yihua Lan, H. Ren, Jinxin Wan
- Computer ScienceFourth International Conference on Computational…
- 17 August 2012
A new hybrid classifier for mammographic CAD is presented by hybridizing Logistic Regression (LR) and K-nearest neighbor (KNN) classifiers to achieve better performance then those two single classifiers.
A Feature Selection Method Base on GA for CBIR Mammography CAD
- Yi Chen, Yihua Lan, H. Ren
- Computer ScienceInternational Conference on Intelligent Human…
- 26 August 2012
The purpose of this study was to develop and evaluate a feature selection method for content-based image retrieval (CBIR) CAD system called F-GA (Frequency-GA), which was run m times for m different feature sub-sets and those features which have highest frequency were selected to form the ultimatefeature sub-set.
Hybrid segmentation of mass in mammograms using template matching and dynamic programming.
Trimming the Wireless Capsule Endoscopic Video by Removing Redundant Frames
A method to reduce the visualization time by removing redundant video frames caused by the non-uniform movement of WCE, which is created by turbid fluids, foods, and faecal materials.
Advanced Techniques for Computational and Information Sciences
A novel image segmentation method based on random walk
- Yihua Lan, Cunhua Li, Yong Zhang, Xuefeng Zhao
- Computer ScienceIEEE Pacific-Asia Workshop on Computational…
- 1 November 2009
A novel image segmentation method based on random walk model that takes the low-scale image probability result as the initial value of the high-scaleimage segmentation process and segmentation result by this algorithm is much better than that by the original random walk segmentation algorithm.