Location:
Search - Texture energy
Search list
Description: 数字图像的纹理分析应用实例，可以计算图像的能量，熵，惯性矩，局部平稳性和相关。~..~-digital image texture analysis application, the images can be calculated energy, entropy, moment of inertia, local smooth and relevance. ~ ~ ..
Platform: |
Size: 40960 |
Author: q024100404 |
Hits:
Description: 纹理分析：打开一个.BMP文件后计算其纹理特征，能知道其能量，熵，惯性矩，局部平稳性，和相关系数.-Texture Analysis: Open a. BMP files to calculate the texture features, to know its energy, entropy, moment of inertia, partial stationarity, and the correlation coefficient.
Platform: |
Size: 66560 |
Author: 沧海客 |
Hits:
Description: statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy
filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a
posterior step to perform image segmentation and object recognition.-statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.
Platform: |
Size: 1002496 |
Author: Shao Dan |
Hits:
Description: 一个图像的纹理分析应用实例，可以给出纹理的熵、惯性矩、能量等特征-An image texture analysis of application examples can be given texture entropy, moment of inertia, energy and other characteristics of
Platform: |
Size: 437248 |
Author: 陈华 |
Hits:
Description: 数字图像的纹理分析应用实例，可以计算图像的能量，熵，惯性矩，局部平稳性和相关。-Digital image texture analysis of application examples, can calculate the image of energy, entropy, moment of inertia, local stable and relevance.
Platform: |
Size: 40960 |
Author: 王伟 |
Hits:
Description: 可以对图象的纹理进行分析，包括图象的能量，熵，惯性矩，局部平稳性等-On an analysis of texture images, including images of energy, entropy, moment of inertia, partial stationarity, etc.
Platform: |
Size: 3551232 |
Author: 蒋海波 |
Hits:
Description: 由灰度共现矩阵提取纹理特征：能量，惯性矩，相关性，熵，有完整的交互界面-By the gray co-occurrence matrix texture features extraction: energy, moment of inertia, relevance, entropy, there is a complete interface
Platform: |
Size: 5724160 |
Author: 张球儿 |
Hits:
Description: 根据被测图像纹理背景和目标区域在小波变换域内图像能量分布的不同,以及经过多尺
度分解后在各子空间信息分布的不同,提出与背景纹理的方向无关,把目标的变化具有旋转、平移
以及尺度不变性的能量特征作为检测的依据。实验证明该方法具有较好的适应性。-According to the measured image texture background and target region in wavelet transform domain energy distribution of the different images, as well as a multi-scale decomposition in the sub-space distribution of the different information with respect to the direction of the background texture has nothing to do with changes in the target rotation, translation as well as the scale invariance of the energy feature as the basis for detection. Experiments show that the method has better adaptability.
Platform: |
Size: 193536 |
Author: lee |
Hits:
Description: Laws texture Energy-Laws texture Energy
Platform: |
Size: 1024 |
Author: Qaisar |
Hits:
Description: Matlab LAWS能量滤波函数 主要用于纹理的分析-Matlab LAWS energy filtering function is mainly used for texture analysis
Platform: |
Size: 1024 |
Author: 王庆香 |
Hits:
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 |
Hits:
Description: 用灰度共生矩阵对共生矩阵归一化和计算能量、熵、惯性矩、相关4个纹理参数。-On the symbiosis with the GLCM matrix normalization and calculation of energy, entropy, moment of inertia, related to four texture parameters.
Platform: |
Size: 1024 |
Author: 青青 |
Hits:
Description: 一个根据laws能量测度对纹理图像进行分割的程序，分割过程采用K均值聚类的方法-A measure of energy under the laws of the texture image segmentation process, the process of segmentation method using K means clustering
Platform: |
Size: 38912 |
Author: dsfdsf |
Hits:
Description: 在VC++6.0中实现了图像纹理信息的提取和显示，不过效果有待提高-In VC++6.0 to achieve the extraction of image texture information and display, but the effect needs to be improved
Platform: |
Size: 1024 |
Author: 莉莉 |
Hits:
Description: 计算图像灰度共生矩阵重要属性：能量 熵 惯性矩和相关性。-Calculate important properties GLCM image: the moment of inertia and entropy correlation energy.
Platform: |
Size: 1024 |
Author: luby_liu |
Hits:
Description: 将图像纹理能量因子与优先值计算自适应的算法-Image texture energy factor priority value adaptive algorithm
Platform: |
Size: 493568 |
Author: 吴萌 |
Hits:
Description: 按照二维函数的特点和视觉机制,提出了用来捕捉纹理基元的纹理检测器函数,基于纹理检测器和扩展的小波变换,提出了基于能量分解的影像纹理多尺度分析方法,并按照神经动力学的侧抑制和端点抑制等理论,实现了对多尺度纹理特征的融合，这一多尺度分析方法直接将影像纹理能量在时间一尺度空间分解,包含了相位信息,避免了基于线性变换多尺度分解引起的能量与相位分离,为纹理分析提供了一个层次性的框架,有效提高了纹理的识别能力。-According to the characteristics of two-dimensional functions and visual mechanisms proposed to capture the texture primitive texture detector function, based on texture detector and extended wavelet transform, a multi-scale energy decomposition analysis method based on image texture and follow nerve and endpoint lateral inhibition kinetics of inhibition theory, to achieve the integration of multi-scale texture features, this multi-scale analysis methods directly to the image texture energy in a time scale spatial resolution, including the phase information, to avoid the multi-linear transformation based on energy scale decomposition caused by the phase separation of texture analysis provides a hierarchical framework, improve the ability to identify the texture.
Platform: |
Size: 1391616 |
Author: guiyangyang |
Hits:
Description: 能够创建4个方向的灰度共生矩阵，并且计算能量、熵、对比度和相关性四种特征-Creating four directions can be achieved GLCM , and calculate the energy , entropy, contrast, and correlation characteristics of four kinds of mean
Platform: |
Size: 1024 |
Author: 罗诗笛 |
Hits:
Description: Texture detection using GLCM. GLCM describes four properties known as contrast, correlation, energy and homogeneity.
Platform: |
Size: 143360 |
Author: gargi |
Hits:
Description: to find texture energY
Platform: |
Size: 1024 |
Author: Neelima |
Hits: