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.
模式分类是许多工程领域如自控监测、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种关键技术。
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由虹膜定位、图像预处理、虹膜特征提取和分类识别几个部分组成。
Advanced algorithms of image processing and pattern recognition are adopted to improve detection rate and classification rate of defects.
同时，系统采用了先进的图像处理和模式识别算法，以提高系统对缺陷的检出率和识别率。
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的特征向量，然后将支持向量机分类方法应用于病害的识别。
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的特征向量，然后将支持向量机分类方法应用于病害的识别。
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.
矩不变量在图像进行平移、旋转和尺度变换时保持定值，因此被广泛使用在目标识别、图像分类、图像压缩和场景匹配等各种领域。
The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.
红外图像模式识别系统，由图像预处理、特征提取及模式分类组成。
This paper mainly studies image preprocessing, feature extraction and classification analysis, accordingly realizes the chromosome recognition.
本文对染色体图像进行预处理、特征提取和分类分析，实现对染色体的识别。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
Image processing, feature abstraction and classification of plant leaf shape with computer recognition system were discussed in this paper.
本文论述了植物叶形图像识别系统设计中的图像处理、特征提取及分类识别等问题。
Invariant corner detection is a most important preprocessing step for image shape classification and recognition.
在图像形态分类与识别系统中，不变性角点检测是很重要的预处理环节。
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.
现已在图像处理、人工智能、计算机识别、模式识别与分类、故障检测等方面得到了广泛应用。
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，与其它算法比较，此算法能够对人脸图像进行良好的分类识别。
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.
对各种遥感影象的水系加以识别和分类，为决策者提供必要的信息和数据，具有重要的现实意义。
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.
在图像识别部分，采用了经典的BP神经网络对疵点类型进行分类，同时与改进的SVM分类方法进行比较。
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是粮虫特征提取和识别分类的基础和依据。
In this paper, the ancient Chinese character recognition image classification system is developed. The results show that the system has high classification ability.
本文开发了古汉字图像分类识别系统，应用结果表明本系统具有较高的分类识别能力。
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来解决实际问题，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；
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，该算法能够对人脸图像进行良好的分类识别，尤其是小样本的情况下。
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低，提出了河流图像自动识别分类方法。
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.
文章从模式识别的分类理论出发，提出了改进的二维类间方差的多门限阈值石块分割方法。
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.
提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法。
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.
提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法。
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