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Invariant_Line_Segment_Matching
function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee - Ideal - CV and Im. Und. - 77, 263-283 - (2000)( function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee- Ideal- CV and Im. Und.- 77, 263-283- (2000))
- 2009-09-25 22:15:21下载
- 积分:1
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implement the Power Al-
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which takes as input A q (the initial approximation of the eigenvector) and scale (it was
given as in the lectures).
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consensus
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说明: 图像阈值分割技术在图像分割中具有重要的意义。遗传算法既可以对全局信
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中的个体,保证了可以选出最优的个体。遗传算法是具有鲁棒性和自适应性的搜
索方法.通过实验对比,表明该方法具有快速、稳定分割的特点。(Image threshold segmentation technology is of great significance in image segmentation. Genetic Algorithms can be used for global information
Efficient utilization of information also reduces storage space and computation. Based on the advantages of genetic algorithm, a new genetic algorithm is proposed.
A method of image segmentation based on improved genetic algorithm can replace the current generation with individuals with large adaptability in the parent generation.
The individual in the system ensures that the best individual can be selected. Genetic Algorithms are Robust and Adaptive Search
The experimental comparison shows that the method has the characteristics of fast and stable segmentation.)
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- 积分:1
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spectal substraction
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- 2012-05-05 14:46:45下载
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