Foreign Fiber Image Segmentation Based on Maximum Entropy and Genetic Algorithm

Journals Menu

Follow SCIRP

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Foreign Fiber Image Segmentation Based on Maximum Entropy and Genetic Algorithm"
written by Liping Chen, Xiangyang Chen, Sile Wang, Wenzhu Yang, Sukui Lu,
published by Journal of Computer and Communications, Vol.3 No.11, 2015

has been cited by the following article(s):

[1]	Crack and fracture central line delineation on Steger and hydrodynamics with improved fractional differential
	2020

[2]	基于水动力学, 分数阶微分及 Steger 算法的线状目标提取
	2020

[3]	基于改进遗传算法的最大 2 维熵图像分割
	2019

[4]	Edge and texture detection of metal image under high temperature and dynamic solidification condition
	Journal of Central South University, 2018

[5]	Camouflage Effectiveness Assessment Based on Fusion with Constant Color Background
	Journal of Physics: Conference Series, 2018

[6]	Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image
	Image and Graphics, 2017

[7]	棉花异性纤维检测方法研究进展
	棉纺织技术, 2016

[1]	Crack and Fracture central line delineation on Steger and Hydrodynamics with improved Fractional differential International Journal of Wavelets, Multiresolution and Information Processing, 2020 DOI:10.1142/S021969132050037X

[2]	Edge and texture detection of metal image under high temperature and dynamic solidification condition Journal of Central South University, 2018 DOI:10.1007/s11771-018-3843-3

[3]	Image and Graphics Lecture Notes in Computer Science, 2017 DOI:10.1007/978-3-319-71607-7_4

[4]	Successful Global Leadership 2016 DOI:10.1057/978-1-137-58990-3_6

Follow SCIRP