An Otsu multi-thresholds segmentation algorithm based on improved ACO-Reference-Cited by-同舟云学术

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An Otsu multi-thresholds segmentation algorithm based on improved ACO

Published:2018-10-11 Issue:2 Volume:75 Page:955-967
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Qin Jun,Shen Xuanjing,Mei Fang,Fang Zheng

Funder

National Natural Science Foundation of China

the National Natural Science Foundation of China

Key Projects of Jilin Province Science and Technology Development Plan

Outstanding Young Talent Foundation of Jilin Province

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s11227-018-2622-0/fulltext.html

Reference23 articles.

1. Wang J, Xiaolei D, Zhou P (2017) Current situation and review of image segmentation. Recent Pat Comput Sci 10(1):70–79

2. Hong R, Hu Z, Wang R et al (2016) Multi-view object retrieval via multi-scale topic models. IEEE Trans Image Process 25(12):5814–5827

3. Hong R, Li L, Cai J et al (2017) Coherent semantic-visual indexing for large-scale image retrieval in the cloud. IEEE Trans Image Process 26(9):4128–4138

4. Han Y, Yang Y, Wu F et al (2015) Compact and discriminative descriptor inference using multi-cues. IEEE Trans Image Process 24(12):5114–5126

5. Hong R, Zhang L, Tao D (2016) Unified photo enhancement by discovering aesthetic communities from flickr. IEEE Trans Image Process Publ IEEE Signal Process Soc 25(3):1124–1135

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