图象分类 meaning in Chinese
image cla ification
image classification
Examples
- Supervised image classification
受监视的图象分类 - Many classification methods exist including nearest - to - means , maximum likelihood classification method , bayes classification method , and neural network classification
图象分类之理论与方法甚多，包括最近均值法、最大概似法、具氏分类法等。 - The simulation result has indicated that using the method of two - value filter can solve the question perfectly , and the question is the edge discontinuity of traditional image classify base on region ; the image fusion which make use of edge gradually change is sententious and efficient ; the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system
仿真结果表明，利用二值滤波处理较好地解决了传统的基于区域的图象分类中的边缘不连续的问题；利用边缘渐变方式实现的图像融合简洁有效；由灰度统计直方图均衡所实现的彩色增强处理降低了虚拟照相系统对环境照度的要求。 - ( 5 ) a series of design methods of classifiers are proposed , including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ) , a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms , and the fuzzy neural classifier . the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier . ( 6 ) this paper proposes a hybrid feature extraction method for face recognition , which is a combination of the eigen matrix , fisher discriminant analysis , and the generalized optimal set of discriminant vectors
( 5 )对图象分类器设计方法进行研究，主要包括：提出了一种基于广义逆和概率推理的分类器设计方法；提出了一种新的自适应模糊聚类算法；提出了基于模糊神经网络的分类器设计方法；并对多特征多分类器组合方法在人脸识别中进行实验研究； ( 6 )提出了一种只要一个训练样本就能解决人脸识别问题的新方法，该方法结合了特征矩阵、 fisher最优鉴别分析和广义最优鉴别分析方法的优点。