Description: 使用梯度幅度预处理，再通过分水岭变换方法分割灰度图象-Pretreatment of the use of gradient magnitude, and then through the watershed transform gray-scale image segmentation Platform: |
Size: 24576 |
Author:姜丽 |
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Description: 求RGB 的梯度值以及梯度方向
to obtain gradient magnitude and orientation of an RGB image-to obtain gradient magnitude and orientation of an RGB image Platform: |
Size: 1024 |
Author:Jerry |
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Description: canny检测器是很有效的边缘检测器，该函数可以实现对目标图像的边缘提取。该方法总结如下：1.图像使用带有指定标准差的高斯滤波器来平滑，以此减少噪声；2.在每一点计算局部梯度和边缘方向；3.第二步中确定的边缘点会导致梯度幅度图像中出现脊，然后追踪所有脊的顶部，并将所有不再脊顶部的像素设置为0；4.执行边缘链接-canny detector is very effective edge detector, this function can be achieved on the target image edge detection. This method is summarized as follows: 1. Image used with the specified standard deviation of the Gaussian filter to smooth out, thereby reducing the noise 2. In the calculation of each point of local gradient and edge direction 3. The second step in determining the edge points will led to the image gradient magnitude ridge appears, and then keep track of all of the top of the ridge, and ridge at the top of all the pixels are no longer set to 0 4. the implementation of the edge link Platform: |
Size: 185344 |
Author:hanyantao |
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Description: Gradient information serves several purposes. It can relate
the structure of objects in an image, identify features of interest
for recognition/classification directly or provide the basis of further
processing for various computer vision tasks. For example, "edges," noted
by regions of high gradient magnitude, are central to the task of
identifying defects in circuitry. A sample "edge-detected" image using
the Image Processing Toolbox for MATLAB is shown where
locations marked by white are those points that are indicative of high
gradient magnitude, which can also be described as regions of high
pixel contrast.-Gradient information serves several purposes. It can relate
the structure of objects in an image, identify features of interest
for recognition/classification directly or provide the basis of further
processing for various computer vision tasks. For example, "edges," noted
by regions of high gradient magnitude, are central to the task of
identifying defects in circuitry. A sample "edge-detected" image using
the Image Processing Toolbox for MATLAB is shown where
locations marked by white are those points that are indicative of high
gradient magnitude, which can also be described as regions of high
pixel contrast. Platform: |
Size: 6144 |
Author:aisso831 |
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Description: 针对灰度图像，在多尺度上做小波变换，根据变换后的梯度幅值和梯度方向，提取图像的边缘信息-For the gray image, to do the multi-scale wavelet transform, according to the transformed gradient magnitude and gradient direction of the image edge information Platform: |
Size: 1024 |
Author:数风流人物 |
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Description: Based on this one-dimensional analysis, the theory can be carried over to two-dimensions as long as there is an accurate approximation to calculate the derivative of a two-dimensional image. The Sobel operator performs a 2-D spatial gradient measurement on an image. Typically it is used to find the approximate absolute gradient magnitude at each point in an input grayscale image. The Sobel edge detector uses a pair of 3x3 convolution masks, one estimating the gradient in the x-direction (columns) and the other estimating the gradient in the y-direction (rows). A convolution mask is usually much smaller than the actual image. As a result, the mask is slid over the image, manipulating a square of pixels at a time. Platform: |
Size: 2048 |
Author:siva |
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Description: Based on this one-dimensional analysis, the theory can be carried over to two-dimensions as long as there is an accurate approximation to calculate the derivative of a two-dimensional image. The Sobel operator performs a 2-D spatial gradient measurement on an image. Typically it is used to find the approximate absolute gradient magnitude at each point in an input grayscale image. The Sobel edge detector uses a pair of 3x3 convolution masks, one estimating the gradient in the x-direction (columns) and the other estimating the gradient in the y-direction (rows). A convolution mask is usually much smaller than the actual image. As a result, the mask is slid over the image, manipulating a square of pixels at a time. Platform: |
Size: 1024 |
Author:siva |
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Description: 采用Canny算法进行边缘检测。1用高斯滤波器平滑图像。2用一阶偏导的有限差分3对梯度幅度进行非极大值抑制。4用双阈值。5采用高斯平滑函数-Canny edge detection algorithm used. A smooth image with a Gaussian filter. 2 with the first-order partial derivatives of the finite difference gradient magnitude 3 on the non-maxima suppression. 4 with a double threshold. 5 Gaussian smoothing function Platform: |
Size: 2152448 |
Author:吴婵 |
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Description: canny边缘检测算子，用高斯滤波平滑图像，再用一阶偏导的有限差分来计算梯度的幅值和方向。-canny edge detection operator, smooth image with a Gaussian filter, and then the first order partial derivatives of the finite difference to calculate the gradient magnitude and direction. Platform: |
Size: 3072 |
Author:周娇 |
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Description: 1.设计一个程序，对一幅灰度图像的实现如下几何变换,1)放大为原图1.5倍 2)绕中心旋转30度(CW) 3)采用偏移量插值实现一个透视变换. 灰度差值用最近邻插值和双线性插值
2. 绘制一幅灰度图像的梯度幅度图像（三点法求梯度），针对梯度幅度图像合理的选择一个阈值（通过试验即可）将其二值化，以获得图像边缘检测图像。-(1) design a program, a grayscale image as geometric transformation, zoom 1) for 1.5 times the original 2) around the center of rotation of 30 degrees (CW) 3) interpolation of the offset to achieve a perspective transformation.gray level difference between the nearest neighbor interpolation and bilinear interpolation
(2) draw a grayscale image of the gradient magnitude image (three-point method seeking gradient), the gradient magnitude image is reasonable to select a threshold value (the test can be) the second value to the image edge detection image. Platform: |
Size: 291840 |
Author:Xucheng |
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Description: 在为分割使用分水岭变换之前，通常使用梯度幅度来预处理图像。-Before using watershed transformation for segmentation,we usually use gradient magnitude to preprocessing the image.
Platform: |
Size: 2048 |
Author:武园 |
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Description: 分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分
类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低
的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些
小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正
如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其
他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的特征类型从不同的数据集融
合而来的图像进行分割。分水岭技术在那些不仅仅产生单一图像分割的应用中也更加灵活，
但是使用一个门限，或者交互式地在一个用户绘图界面的帮助下，从一个可以提取一个单一
区域或区域集的a-priori 中的一个分割层级更合适。-Watershed segmentation classifies pixels into regions using gradient descent on image features
and analysis of weak points along region boundaries. Imagine water raining onto a landscape
topology and flowing with gravity to collect in low basins. The size of those basins will grow
with increasing amounts of precipitation until they spill into one another, causing small basins
to merge together into larger basins. Regions (catchment basins) are formed by using local
geometric structure to associate points in the image domainwith local extrema in some fea-ture measurement such as curvature or gradient magnitude. This technique is less sensitive
to user-defined thresholds than classic region-growing methods, and may be better suited for
fusing different types of features from different data sets. The watersheds technique is also
more flexible in that it does not produce a single image segmentation, but rather a hierarchy of
segmentations from which a single region or set of regio Platform: |
Size: 5120 |
Author:张涛 |
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Description: 输入一幅图像，进行高斯光滑，使用索贝尔算子计算图像梯度，然后求出梯度幅值和方向-Enter an image, using Gaussian smoothing, ,using Sobel operator to calculate the image gradient, and then find the gradient magnitude and direction Platform: |
Size: 1024 |
Author:momo |
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Description: 基于梯度模方差的图像质量评估，发表于IEEE Trans on Image processing 2014的最新论文的代码。-Image quality assessment based on gradient magnitude variance, published in IEEE Trans on Image processing code 2014 latest paper. Platform: |
Size: 1024 |
Author:刘云鹏 |
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Search - gradient magnitude