Novel mean-shift based histogram equalization using textured regions-Reference-Cited by-同舟云学术

Novel mean-shift based histogram equalization using textured regions

Published:2012-02 Issue:3 Volume:39 Page:2750-2758
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lai Yu-Ren,Chung Kuo-Liang,Chen Chyou-Hwa,Lin Guei-Yin,Wang Chao-Hsin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference24 articles.

1. Agaian, S. S., Panetta K., & Grigoryan A. M. (2000). A new measure of image enhancement. In International conference on signal processing communication (pp. 19–22).

2. Transform coefficient histogram-based image enhancement algorithms using contrast entropy;Agaian;IEEE Transactions on Image Processing,2007

3. Transform image enhancement;Aghagolzadeh;Optical Engineering,1992

4. Novel contrast enhancement approach based on fuzzy homogeneity;Cheng;Optical Engineering,2007

5. Head gesture recognition using HMMs;Choi;Expert Systems with Applications,1999

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Particle swarm optimized texture based histogram equalization (PSOTHE) for MRI brain image enhancement;Optik;2020-12

2. Automated liver and tumor segmentation based on concave and convex points using fuzzy c-means and mean shift clustering;Measurement;2020-01

3. An effective color texture image segmentation algorithm based on hermite transform;Applied Soft Computing;2018-06

4. An effective color image segmentation approach using neutrosophic adaptive mean shift clustering;Measurement;2018-04

5. Grey‐level context‐driven histogram equalisation;IET Image Processing;2016-05