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Proceedings Paper

Performance evaluation of image enhancement methods for objects detection and recognition
Author(s): Tiefeng Cai; Feng Zhu; Yingming Hao; Xiaopeng Fan
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Paper Abstract

Human eyes cannot notice low contrast objects in the image. Image contrast enhancement methods can make the unnoticed objects noticed, and human can detect and recognize the objects. In order to guide the design of enhancement methods, performance of enhancement methods for objects detection and recognition(ODR) should be valued. The existing performance evaluation methods evaluate image enhancement methods by calculating the increment of contrast or image information entropy. However, it is essentially an image information transmission process that human detect and recognize objects in the image, and image contrast enhancement can be viewed as a form of image coding. According to human visual properties, the transmission process of ODR information are modeled in this paper, and a performance evaluation method was proposed from the information theory of Shannon.

Paper Details

Date Published: 8 October 2015
PDF: 5 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752Z (8 October 2015); doi: 10.1117/12.2202949
Show Author Affiliations
Tiefeng Cai, Shenyang Institute of Automation (China)
Univ. of the Chinese Academy of Sciences (China)
Key Lab. Opto-electronic Information Processing (China)
Feng Zhu, Shenyang Institute of Automation (China)
Key Lab. Opto-electronic Information Processing (China)
Yingming Hao, Shenyang Institute of Automation (China)
Key Lab. Opto-electronic Information Processing (China)
Xiaopeng Fan, Shenyang Institute of Automation (China)
Key Lab. Opto-electronic Information Processing (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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