Location:
Search - shape feature
Search list
Description: 图像特征提取的源代码，使用sobel算子提取图像边缘，使用hu矩提取图像形状特征，使用颜色中心矩提取图像颜色特征，请使用eclipes导入该工程并运行test文件（可将test文件中去掉一些注释部分运行更多功能）-Image Feature Extraction of the source code, use the sobel operator edge extraction, the use of hu moments shape feature extraction of images, the use of color centers Moment image color feature extraction, use eclipes into the project and run the test file (test file could be to some notes run out some more features)
Platform: |
Size: 46080 |
Author: 房劬 |
Hits:
Description: ZK矩的计算程序，有MATLAB和C语言两部分。ZK矩在形状识别和分析中有重要应用，可以在特征参数提取中经常使用。-ZK moment calculation procedure, MATLAB and C language has two parts. ZK moments in shape recognition and analysis has important applications, feature extraction can be often used.
Platform: |
Size: 6144 |
Author: liufeng |
Hits:
Description: 形状特征提取的经典论文，图像处理研究人员必备论文
-Shape feature extraction of the classic papers, image processing researchers must Papers
Platform: |
Size: 6508544 |
Author: 陆铖 |
Hits:
Description: 基于轮廓的形状特征提取
1)该程序在VC＋＋6.0下编译通过；
2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定）
64×64 24bit BMP：
图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别；
120×120 24bit BMP：
图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别；
3)结果说明：
MCS.dat保存了Mountain Climbing Sequence。
-Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.
Platform: |
Size: 3072 |
Author: 方哲 |
Hits:
Description: 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点，利用归一化梯度模板对
其进行预 匹配．然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ，获取模板 图像的
结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature points as corner points, using the normalized gradient of their pre-match template. The shape of the template and then use the template in the four directions within the image edge point and the shortest distance between the template border statistics, access to the template image of the structure of eigenvectors of the feature points in order to achieve the exact match. Experimental results show that the algorithm has good practical value.
Platform: |
Size: 171008 |
Author: memcpy |
Hits:
Description: 基于JAVA实现的图像特征提取源代码 图像特征提取的源代码，使用sobel算子提取图像边缘，使用hu矩提取图像形状特征，使用颜色中心矩提取图像颜色特征，请使用eclipes导入该工程并运行test文件（可将test文件中去掉一些注释部分运行更多功能）。-JAVA based on the realization of the image feature extraction image feature extraction source code source code, use the sobel operator edge extraction, the use of hu moments shape feature extraction of images, the use of color centers Moment image color feature extraction, use eclipes into the project and run test file (test file can be removed from some parts of Notes to run more features).
Platform: |
Size: 36864 |
Author: 范卫华 |
Hits:
Description: 一个简单的傅立叶带亮度描绘子提取图像的形状特征程序-A simple Fourier descriptor with the brightness of the image shape feature extraction procedures
Platform: |
Size: 198656 |
Author: 黎维娟 |
Hits:
Description: 一个简单的图形匹配源代码，两张图片选取3个特征点对比匹配-A simple shape matching source code, two pictures selected three feature points matching contrast
Platform: |
Size: 3468288 |
Author: 黄朝亮 |
Hits:
Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区
YC C
r b
域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度
)
(
信息定位眼睛, 然后根据人脸特征的几
形态边缘检测算子检测候选区域的边缘, 利用 边缘方向
PCA PCAED
( )
何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确
的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分
割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征
PCAED
具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低
等特点。-
A novel approach for skin segmentation and facial feature extraction is proposed
The proposed skin segmentation is a method for integrating the chrominance components of
″″ . ″″
r b r b
nonlinear YC C color model The chrominance components of nonlinear YC C color space
,
are modeled using a subgaussian probability density function and then the face skin is seg
. ,
mented based on this function In order to authenticate the face candidate regions firstly tex
ture information in face candidate regions is segmented using mean and variance of luminance
, . ,
information and then the eye is located by the PCA edge direction information Finally the
, ,
others features such as nose and mouth also are detected using the geometrical shape infor
. 2 ,
mation As all the above mentioned techniques are simple and efficient the skin segmentation
.
based on nonlinear color spacemethod has the invariability of lighting and pose In the experi
, .
ments themethod has been successfull
Platform: |
Size: 458752 |
Author: zz |
Hits:
Description: 基于matlab的进行鸡蛋形状特征提取的程序，能提取鸡蛋裂缝区域的形状特征-Matlab based on the conduct of an egg shape feature extraction procedure can extract the shape of an egg cracks in the regional characteristics of
Platform: |
Size: 1024 |
Author: 波波 |
Hits:
Description: 状是含有高层语义信息的视觉特征，在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征，傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理，应用非常广泛。然而自然图像的形状特征通常是杂乱的，有噪声的，提出了一种图像预处理方法，得到净化的形状图像，通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
Platform: |
Size: 102400 |
Author: 倪晓雷 |
Hits:
Description: 关于等高线特征描述与提取的几篇好文章，主要利用了等高线的形状与纹理特征。-There are several articles about the discription and extraction of contour feature, which mainly discuss shape feature and texture feature.
Platform: |
Size: 963584 |
Author: 蓝天 |
Hits:
Description: Improved Active Shape Model for Facial Feature
Extraction in Color Images
Platform: |
Size: 450560 |
Author: 思沃琪 |
Hits:
Description: 针对医学图像数据库,提出一种新的基于纹理和形状的图像检索方法。非下采样Contourlet变换具有多尺度多分辨率
分析和平移不变性的特点,用来提取纹理特征。Zernike矩作为一种基于区域的形状描述子,具有良好的旋转不变性,用来提取
形状特征. 然后综合两种特征。对CT图像数据库进行检索实验,实验结果表明,该方法具有良好的检索性能,并具有平移、尺
度、旋转不变性。-Aiming atmedical image database, a novelmedical image retrieval algorithm based on texture and shape
information is p roposed. The nonsubsamp led Contourlet transform p rovides a flexible multi2scale, multi2direction and
shift2invariant image rep resentation. It is used for texture feature extraction. As a region2based shape descrip tor,
Zernike moments have good rotation invariance. It is used to extract shape feature. Then, the two features are inte2
grated into image retrieval. A CT image database was retrieved using thismethod. Experimental results show that the
new method has good retrieval performance and the p roperties of translation, scaling and rotation invariance.
Key words: nonsubsamp led Contourlet transform Zernike moment texture extraction shape extraction
Platform: |
Size: 397312 |
Author: ll |
Hits:
Description: matching shape can be subdivided between two approaches: feature-based and template-based matching. The feature-based approach uses the features of the search and template image, such as edges or corners, as the primary match-measuring metrics to find the best matching location of the template in the source image. The template-based, or global, approach, uses the entire template, with generally a sum-comparing metric (using SAD, SSD, cross-correlation, etc.) that determines the best location by testing all or a sample of the viable test locations within the search image that the template image may match up to.
Platform: |
Size: 10481664 |
Author: gislam |
Hits:
Description: 形状特征提取（7个HU不变矩提取）（基于边缘的特征提取法）-Shape feature extraction (7 invariant moments extracted HU) (edge-based feature extraction method)
Platform: |
Size: 1024 |
Author: 慕南 |
Hits:
Description: 提取图像的颜色特征和形状特征用于检索图像-Comprehensive color feature and shape feature of image retrieval algorithm
Platform: |
Size: 1651712 |
Author: duo |
Hits:
Description: 分别有基于颜色特征、纹理特征、形状特征的提取，更好的比较图片的相似度-Respectively, based on color feature, texture feature and shape feature extraction, image similarity better comparison
Platform: |
Size: 1886208 |
Author: 李语丝 |
Hits:
Description: Based on the analysis of methods of CBIR and
chest image characteristic, in this paper, color
correlogam, dominant color of partition, gray level
co-occurrence matrix, gray-gradient co-occurrence
matrix and shape invariant moments were extracted as
retrieval feature. After comparison of their retrievals,
feature fusion and relevance feedback is proposed.
Experiments proved that the combining color, texture
with shape feature gets effective retrieval and relevance
feedback further more improves retrie
Platform: |
Size: 900096 |
Author: Salkoum |
Hits:
Description: 图像的形状特征一般是在物体从图像中分割出来以后进行分析，形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法，一类是边界特征，另一类是区域特征。图像的轮廓特征主要针对物体的外边界，而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape feature description and dimensional measurement can be used as a basis for distinguishing different objects. There are two types of representation methods for shape features, one is boundary feature and the other is regional feature. The contour features of the image are primarily directed to the outer boundary of the object, while the regional features of the image are related to the entire shape region.)
Platform: |
Size: 122880 |
Author: 堕落方舟 |
Hits: