Paper Info
Title
Development And Challenges Of Phenotypic Characterization In Modal Animals
Abstract
In-1 recent years, science technology has developed rapidly, phenotypic analysis of modal animals plays a vital role in the study of human life and computer vision technology is an indispensable part of modal animal phenotype analysis. With the speed of computer operation has been significantly improved, some novel computer vision technologies emerged based on visible images. Due to higher adaptability of the complex environments under the visible light shine, the automation and efficiency of work has greatly promoted by computer vision technology, and it can effectively avoid the error arising from manual operation. In this paper, we mainly summarize the research progress in the image aspects of computer vision technology for the existing methods into three groups, namely, (1) image preprocessing; (2) image feature extraction; (3) image classification. Based on depth analysis of methods, we explore the image analysis method of modal animal phenotypic representation through solving different problem.
Year
DOI
Venue
2018
10.1145/3207677.3277968
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018)
Keywords
DocType
Citations 
phenotypic analysis, modal animal, computer vision technology, image preprocessing, image feature extraction, image classification
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Minjuan Wang111.70
Zhen Zhong210.71
Wanlin Gao367.58