Description: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications. Platform: |
Size: 1024 |
Author:wangxiaofei |
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Description: 针对语音识别中MFCC特征提取，从HTK3.4.1版本中抽出MFCC提取模块，可以单独运行，对一批wav录音文件进行MFCC特征提取，一个wav文件对应一个特征文件。并且备有详细的注释，有利于语音识别初学者学习使用。-MFCC extraction module extracted from HTK3.4.1 version for speech recognition MFCC feature extraction, can be run separately, MFCC feature extraction on a number of wav audio file to a wav file corresponds to a signature file. And offers detailed notes, is conducive to the use of speech recognition for beginners to learn. Platform: |
Size: 1227776 |
Author:bill |
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Search - FEATURE EXTRACTION FOR SIGNATURE RECOGNITION