With regard to the problem that original feature in image classification is mass and redundancy, a new image feature selection method was presented.
针对目前图像识别中原始特征数量大、不相关特征多以及冗余等现象,提出了一种图像特征选择方法。
Selection of optimal feature combinations is one of the key procedures for remotely sensed image classification and information abstraction.
最佳特征影像组合的选择是决定遥感影像信息提取与影像分类效果的关键环节之一。
It is shown that association rules can be adapted to feature selection which are used in image analysis and they can automatically identify the most confident feature.
关联规则的方法非常适用于图像分析中的特征选择,可以自动地选出可信度较高的特征。
This paper was a review of the methods of feature extraction and feature selection for spam image identification.
对垃圾图像判别问题中的特征提取和特征选择研究现状进行了总结。
A new method of adaptive threshold selection is proposed which combines the edge feature of the color image based on the theory of mathematical morphology.
提出了一种自适应图像二值化方法,它基于数学形态学理论,求取彩色图像边缘特征,并将它与灰度直方图二值化方法相结合。
In this thesis, we focus on insect wings image preprocessing, image feature extraction, feature matching selection criteria.
本文研究了昆虫翅膀图像的预处理、翅膀图像的分类特征提取和特征分类算法。
Feature extraction and selection are important for recognition rate in intelligent recognition using technologies of digital image processing and pattern recognition.
在使用数字图像处理和模式识别技术进行智能识别过程中,特征提取和优选成为识别率问题的关键。
Feature extraction and selection are important for recognition rate in intelligent recognition using technologies of digital image processing and pattern recognition.
在使用数字图像处理和模式识别技术进行智能识别过程中,特征提取和优选成为识别率问题的关键。
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