A general evaluation method for segmentation algorithm based on experimental design methodology

Author

Zhou, Chuan ; Guilin Zhang ; Pen, JiaXiong

Author_Institution

Huazhong Univ. of Sci. & Technol., Wuhan, China

Volume

1

fYear

1995

fDate

22-25 Oct 1995

Firstpage

258

Abstract

Many techniques for segmenting images have been developed over the past decade in automatic target recognition (ATR) area. This paper reports an evaluation method for segmentation component in ATR system on the basis of experimental design methodology. A set of image metrics is developed to allow an objective evaluation. Response surface modeling approach is employed to analysis the performance of segmentation approaches on selected common data. The result of the test shows that only 27 frames tested images can result in good and reliable performance models, and the relative performance to be consistent with intuitive expectation

Keywords

computer vision; design of experiments; image segmentation; object recognition; target tracking; automatic target recognition; computer vision; experimental design methodology; image metrics; image segmentation; response surface modeling; Analytical models; Computer vision; Design for experiments; Design methodology; Image segmentation; Performance analysis; Response surface methodology; Surface fitting; Target recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.537768

Filename

537768