• Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.

    模式分类许多工程领域自控监测图像识别故障诊断、物料配制医疗诊断等领域广泛应用的一关键技术

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  • Iris recognition system is made up by iris localization component, iris image preprocessing, iris feature extraction and classification.

    虹膜识别系统一般可虹膜定位图像预处理、虹膜特征提取分类识别几个部分组成

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  • Advanced algorithms of image processing and pattern recognition are adopted to improve detection rate and classification rate of defects.

    同时,系统采用先进图像处理模式识别算法提高系统缺陷检出率识别率

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  • At first, extracting features of chromaticity moments of texture image of grape disease is done, then classification method of SVM for recognition of grape disease is discussed.

    首先利用色度矩提取葡萄病害叶片纹理图像特征向量然后将支持向量机分类方法应用于病害的识别

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  • At first, the extracting features of chromaticity moments of texture image of maize disease is done, then classification method of SVM for recognition of maize disease is discussed.

    首先利用色度矩提取玉米病害叶片纹理图像特征向量然后将支持向量机分类方法应用于病害的识别

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  • The invariable moment, which is invariable to the translation, scaling and rotation of image, is widely used in object recognition, image classification, image condensation, scene matching and so on.

    不变量图像进行平移旋转尺度变换时保持定值,因此广泛使用目标识别、图像分类、图像压缩场景匹配等各种领域。

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  • The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.

    红外图像模式识别系统图像预处理特征提取模式分类组成。

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  • This paper mainly studies image preprocessing, feature extraction and classification analysis, accordingly realizes the chromosome recognition.

    本文染色体图像进行预处理特征提取分类分析实现染色体识别

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  • In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.

    本文主要研究函数神经网络分别图像识别特征提取模式分类方面应用

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  • Image processing, feature abstraction and classification of plant leaf shape with computer recognition system were discussed in this paper.

    本文论述植物图像识别系统设计中的图像处理特征提取分类识别等问题。

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  • Invariant corner detection is a most important preprocessing step for image shape classification and recognition.

    图像形态分类与识别系统中,不变性角点检测重要的预处理环节。

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  • Edge detection has been extensively applied in a lot of fields, such as image processing, artificial intelligence, computer recognition, pattern recognition and classification, fault detection etc.

    现已图像处理人工智能计算机识别模式识别分类故障检测等方面得到广泛应用

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  • The experimental results show that, the algorithm can be run well on face image classification and recognition comparing with other algorithms.

    实验结果表明其它算法比较算法能够人脸图像进行良好分类识别

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  • It has an important practical significance in offering essential information and data for the decision-maker with recognition and classification the drainage system from the image of remote sensing.

    各种遥感影象水系加以识别分类决策者提供必要的信息数据具有重要现实意义

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  • In the image recognition section, classical BP neural network is used to classify the type of defects while we compare with the improved classification method of SVM.

    图像识别部分采用经典BP神经网络疵点类型进行分类同时改进SVM分类方法进行比较

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  • Stored grain insect image segmentation always laid the basis for insects feature extraction and recognition and classification.

    储粮害虫图像有效分割特征提取识别分类基础和依据。

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  • So far, the classification recognition of the image is still difficulty in the image processing field.

    到目前为止图像分类识别依然图像处理领域中的难点

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  • In this paper, the ancient Chinese character recognition image classification system is developed. The results show that the system has high classification ability.

    本文开发了汉字图像分类识别系统应用结果表明系统具有较高的分类识别能力。

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  • To be able to handle with practical issues with machine learning methods, such as: intelligent game, natural language understanding, knowledge retrieval, image recognition and text classification;

    能够运用机器学习方法解决实际问题,如智能博弈程序自然语言理解知识获取图像识别文本分类等

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  • The experimental results show that this algorithm is able to face a good image classification and recognition, especially in the case of small samples.

    实验结果表明算法能够人脸图像进行良好分类识别尤其是样本情况下

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  • Due to low efficiency of river channel remote sensing images artificial interpretation, river classification of image recognition system was proposed.

    针对河流遥感图像形状类型人工图像解译效率,提出河流图像自动识别分类方法。

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  • In the paper, firstly, using the classification theory in pattern recognition, approach of multithreshold stone image segmentation based on improved 2D class variance is presented.

    文章模式识别分类理论出发提出了改进间方差的多门限阈值石块分割方法

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  • The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images.

    提出种利用光谱滤波器进行遥感图像混合元全约束分解新算法。

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  • The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images.

    提出种利用光谱滤波器进行遥感图像混合元全约束分解新算法。

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