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Description: 这是图像处理中，一种重要的纹理分析算法，通过Gabor变换，可以分析图像的纹理特征，以便于图像理解-gabor-This is the image processing, an important texture analysis algorithm, Gabor transform, Images can be analyzed texture characteristics, in order to understand image-gabor
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Size: 7168 |
Author: 李娟 |
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Description: 本程序是基于小波的图像分割，内附有程序运行的图像-This procedure is based on the wavelet image segmentation, containing the procedures for running the image
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Size: 528384 |
Author: baiyongbo |
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Description: In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector. - In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector.
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Size: 199680 |
Author: prasad |
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Description: this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
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Size: 83968 |
Author: sidharth |
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Description: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering.
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Size: 347136 |
Author: rupesh |
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