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[Special Effects] zt DL : 0: 图像高斯滤波,再边缘检测中,首先要用到高斯滤波-images Gaussian filtering, edge detection again, the first use of the Gaussian filter! !
Date : 2025-12-29 Size : 172kb User : 柳杨
[Special Effects] bianyuan DL : 0: 通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘。-Gaussian function through derivative edge detection in real terms is Steerable Wavelet image edge detection.
Date : 2025-12-29 Size : 120kb User : alexandar
[Special Effects] edgedetection2003 DL : 0: 数字图像的边缘检测本科毕业设计（边缘检测是数字图像处理中的重要内容。本文首先对图像的边缘检测的各种算法和算子做了总结和分析。Canny最早提出了边缘检测的三条连续准则:最优检测结果、最优定位和低重复响应,并在这些准则的基础上得到了“最优线性滤波器”―高斯函数的一阶导数。经过十几年的发展,目前已经有了对这个准则的很多改进,本文也对这个方面的工作做了小结。Demigny在理论分析和实践的基础上给出了边缘检测的离散准则,并且证明在离散准则中Canny提出的第三个准则可以被阀值操作所取代。本文利用了数值方法求出了Demigny离散准则下阶梯形边缘检测的最优线性滤波器和对应着它的平滑算子。利用这个算子和Canny边缘检测方法得到了一个完整的边缘检测算法并用VC++实现了这种算法.从算法对大量图像边缘检测的结果来看,这种算法虽然简单但是效果很好,是边缘检测的一种很好的实用方法。-Edge detection is important in image procession. This paper made a summary and analysis of edge detecting algorithm and edge detector. Canny has proposed three continuous criteria to compare the performance of different filters: good detection, good localization and low-responses. Based on these criteria he got optimal filter for edge detection: derivative of Gaussian function. After more than ten years research, Canny’s theory has been ameliorated in many aspects, this paper also made a review of it. Based on the practice and theory. Demigny gave three discrete criteria for edge detection like Canny’s criteria and he has proofed that the third criterion can be replaced by an appropriate thresholding operation. This paper used numerical method to get the optimal filter and smooth operator under the Demigny’s criteria. Then I combine these filters and Canny’s edge detecting technique to get an integrated edge detecting algorithm. I have implemented the algorithm using VC++. From the res
Date : 2025-12-29 Size : 1.33mb User : swx
[Special Effects] steerGaussmatlabcode DL : 0: 关于Steerable filtering decomposition 的matlab程序,- STEERGAUSS Implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991.
Date : 2025-12-29 Size : 379kb User : 张宇
[Special Effects] 2 DL : 0: 边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡-Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between
Date : 2025-12-29 Size : 1kb User : xiaowei
[Special Effects] canny DL : 0: 最优的阶梯型边缘检测算法(canny边缘检测) 1.Canny边缘检测基本原理 (1)图象边缘检测必须满足两个条件：一能有效地抑制噪声；二必须尽量精确确定边缘的位置。 (2)根据对信噪比与定位乘积进行测度，得到最优化逼近算子。这就是Canny边缘检测算子。 (3)类似与Marr（LoG）边缘检测方法，也属于先平滑后求导数的方法。 2.Canny边缘检测算法： step1:用高斯滤波器平滑图象； step2:用一阶偏导的有限差分来计算梯度的幅值和方向； step3:对梯度幅值进行非极大值抑制； step4:用双阈值算法检测和连接边缘。 step1:高斯平滑函数 -The optimal type stair edge detection algorithm (canny edge detection) 1 Canny edge detection principle (1) the image edge detection must meet two conditions: one can effectively reduce the noise, 2 must try to accurately determine edge position. (2) according to the signal-to-noise ratio and the product localization estimate, get optimal approximation operator. This is the Canny edge detection operators. (3) similar to Marr (LoG) edge detection method, also belongs to the first derivative method for smooth after. 2 Canny edge detection algorithm: Step1: using gauss filter smooth image, Step2: a partial derivatives with finite difference to calculate gradient value and direction, Step3: a gradient of maximum inhibition, Step4: double threshold algorithm of edge detection and connection. Step1: gaussian smooth functions
Date : 2025-12-29 Size : 1.21mb User : lx
[Special Effects] harriscorner DL : 0: 用于Harris角点检测，可以修改滤波窗口，也可以选择改进的高斯函数一阶微分作为滤波窗口-Harris corner detection is used, you can modify the filter window, you can also choose the improved first-order derivative of Gaussian function as the filtering window
Date : 2025-12-29 Size : 1kb User : echo
[Special Effects] Generalized-Computation-of-Gaussian-Derivatives-Us DL : 0: 对三维图像进行求导的一个程序，利用高斯卷积后对图像求导相当于对高斯函数求导的性质。是用itk库写的一个通用模板类，里面还有例子。-Computation of local image derivatives is an important operation in many image processing tasks that involve feature detection and extraction, such as edges, corners or more complicated features. How- ever, derivative computation in discrete images is an ill-posed problem and derivative operators without any prior smoothing are known to enhance noise. Here we present a new convolution operator, the GaussianDerivativeOperator, that allows to calculate locally Gaussian derivatives of N order. Fur- thermore, we present some useful classes and examples that make use of this new operator.
Date : 2025-12-29 Size : 846kb User : xrx
[Special Effects] dir2dgauss DL : 0: Write a function as below which computes a directional first order derivative of 2D Gaussian function: h=dir2dgauss(M, sigma1, N, sigma2, theta).The kernel h is going to have a size of M x N and theta is the angle that the detector is rotated (counter clockwise). The sigma1 and sigma2 are the standard deviation of Gaussian functions.
Date : 2025-12-29 Size : 26kb User : Chen Gaojun
[Special Effects] Edge-Detection DL : 0: 通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘-Gaussian function derivative to detect image edges, the essence of the steerable wavelet transform to detect image edges
Date : 2025-12-29 Size : 492kb User : 任营
[Special Effects] image-edge DL : 0: 通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘。-Derivative of Gaussian function to detect image edges, essentially Steerable wavelet transform to detect the image edge.
Date : 2025-12-29 Size : 699kb User : best don
[Special Effects] LM-filter DL : 0: Leung-Malik (LM)滤波器组由48个滤波器组成-The LM set is a multi scale, multi orientation filter bank with 48 filters. It consists of first and second derivatives of Gaussians at 6 orientations and 3 scales making a total of 36 8 Laplacian of Gaussian (LOG) filters and 4 Gaussians. We consider two versions of the LM filter bank. In LM Small (LMS), the filters occur at basic scales . The first and second derivative filters occur at the first three scales with an elongation factor of 3 (i.e. and ). The Gaussians occur at the four basic scales while the 8 LOG filters occur at and . For LM Large (LML), the filt ers occur at the basic scales
Date : 2025-12-29 Size : 1kb User : 彭欣荣
[Special Effects] steerable_filters DL : 0: Implements the 1st and 2nd order Gaussian derivative steerable filter in matlab.The oriented first order derivative can be obtained by taking the dot product of a unit vector oriented in a specific direction with the gradient. The basis filters are the partial derivatives of a 2D Gaussian with respect to x and y
Date : 2025-12-29 Size : 97kb User : Moorthi
[Special Effects] derkvtxive DL : 0: 高斯脉冲及高斯一阶导,高斯二阶导产生时域图-Gaussian pulse and gaussian derivative, second derivative gaussian temporal graph
Date : 2025-12-29 Size : 1kb User : uonlarn