Description: 基于纹理分析的图像分割用滤波实现，需要先输入参数。％The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes -Based on Texture Analysis for Image Segmentation with filtering to achieve, need to input parameters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes Platform: |
Size: 3072 |
Author:yemaoqiu |
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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 Platform: |
Size: 528384 |
Author:baiyongbo |
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Description: Texture Segmentation using Gabor Filters 纹理图像分割 包括一个pdf文件，几个m文件-Texture Segmentation using Gabor Filters texture image segmentation include a pdf document, several m files Platform: |
Size: 360448 |
Author:程雪娇 |
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Description: 该源码是神经网络中常用的遗传算法的代码。遗传算法是最优化常用的解法之一。-The source code is generated gabor operator of the source image characteristics, such as image segmentation can be used. Platform: |
Size: 2048 |
Author:xiao |
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Description: 用VC++编写的一个指纹预处理程序，里面有指纹分割，平滑，Gabor增强，二值化，细化，特征提取等过程，预处理的指纹图像效果很好-Using VC++ to prepare a fingerprint pre-processing procedure, there are fingerprint segmentation, smooth, Gabor enhanced binarization, thinning, feature extraction, such as the process of the fingerprint image pre-processing well Platform: |
Size: 154624 |
Author:wy |
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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. Platform: |
Size: 83968 |
Author:sidharth |
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Description: 基于Gabor变换的图像纹理识别。
提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间
频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配
识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运
算量。-Gabor transform based image texture recognition. An improved image of the Gabor transform texture enhancement algorithm, the airspace of the texture image transform frequency domain to the joint space and joint space frequency domain characteristics of the energy distribution as a palm, Gobar filter pair in the frequency domain block its the main direction of the energy distribution of the frequency filtering, feature vectors were matched to identify, enhance the features of ridge information as well as the core region of multi-dimensional spatial frequency energy filter synthesis, but also on the filtering algorithm has been optimized, effective in reducing the computational complexity. Platform: |
Size: 820224 |
Author:爱学习 |
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Description: 指纹图像的质量测量与评价,在指纹图像分割、增强及指纹匹配等环节都有重要应用. 同时,指纹图像的质量分类,对指纹识别算法的适用性研究也有重要意义. 本文提出一种基于支持向量机的指纹图像质量分类方法.该方法选择梯度、Gabor特征、方向对比度等指标,利用支持向量机有效实现指纹图像质量分类. 并采用少类样本合成过采样技术( SMOTE)降低指纹图像质量好坏的类别不平衡问题对分类的影响. 理论分析和实验结果都表明该方法能够较为有效地提高指纹图像质量分类的正确率.-Fingerprint Image Quality Measurement and evaluation, in the fingerprint image segmentation, enhancement and fingerprint matching has important applications such links. Meanwhile, the quality of fingerprint image classification, on the applicability of fingerprint recognition algorithm is also important. In this paper, based on support vector machine classification of fingerprint image quality. The method chosen gradient, Gabor features, such as indicators of the direction of contrast, the effective use of support vector machine classification of fingerprint image quality. and use a small sample of synthetic over-sampling technique class (SMOTE) lower quality fingerprint image the type of imbalance bad influence on the classification. Theoretical analysis and experimental results show that the method can be used effectively to improve the quality of fingerprint image classification accuracy. Platform: |
Size: 564224 |
Author:郭事业 |
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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. Platform: |
Size: 347136 |
Author:rupesh |
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Description: 实现对图像的gabor小波变换，利用了opencv的函数库，可实现方向和尺度等多项选择。-Achieve image gabor wavelet transform, using the opencv function library, enabling the direction and scale and many other options. Platform: |
Size: 5120 |
Author:苏航 |
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