基于算法評價的分割算法優(yōu)化思想及其系統(tǒng)實現(xiàn)
EVALUATION-BASED OPTIMALIZATION AND ITS SYSTEM REALIZATION FOR SEGMENTATION ALGORITHMS
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摘要: 本文提出了一種基于算法評價知識的圖象分割算法優(yōu)化思想,并以該思想為基礎(chǔ)設(shè)計實現(xiàn)了一個分割算法優(yōu)化專家系統(tǒng)。從實驗結(jié)果看,這種思想是可行的并且是實用的。這也為優(yōu)化不同的圖象處理和分析算法提供了一種有效的方案。
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關(guān)鍵詞:
- 圖象分割; 算法評價; 算法優(yōu)化; 專家系統(tǒng)
Abstract: In this paper, a novel idea for optimization of image segmentation algorithms based on algorithm evaluation is proposed. According to this idea, a segmentation expert system is designed and realized. Experimental results show that such an idea is feasible and such a system is workable. This also provides an effective way for the optimization of various image processing and analysis algorithms. -
章毓晉.圖象分割評價技術(shù)分類和比較.中國圖象圖形學(xué)報,1996, 1(2): 151-158.[2]Nazif A, Levine M. Low-level image segmentation: An expert system. IEEE Tans. on PAMI,[3]84, PAMI-6(5): 555-577.[4]Matsuyama T. Expert system for image processing: Knowledge-based composition of image analysis processes. CVGIP, 1989, 48(1): 22-49.[5]章毓晉.一種評價圖象分割的新方法.模式識別與人工智能,1994, 7(4): 99-304.[6]羅惠韜,章毓晉.一個圖象分割評價實例及討論.數(shù)據(jù)采集與處理,1997, 12(1): 18-22.[7]Clement V, Thonnat M. A knowledge-based approach to integration of image processing procedures. CVGIP, 1993, 57(2): 166-184. -
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