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Author: 924867319 |
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Description: C语言算法程序,已经过硬件测试,效果很好,用于图象的二值化,自动取得阀值.-C language paper, the hardware has been tested and the results very good for the image of the two values, automatic threshold.
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Size: 1024 |
Author: whale |
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Description: 边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介
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Size: 1097728 |
Author: zhaolipo |
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Description: 区域分割与目标提取的源代码，包含了单阀值和双阀值二值化处理，直方图图形化，图像反转等功能！-Segmentation and object extraction of the source code, including the single-and double-threshold binarization threshold, histogram graphic, image inversion and other features!
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Size: 5120 |
Author: 沈国峰 |
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Description: 本代码主要是对一幅灰度图像rice.jpg进行一些处理，消除rice.jpg图像中的亮度不一致的背景，并使用阀值分割将修改后的图像转换为二值图像，使用轮廓检测返回图像中目标对象的个数以及统计属性。
-This code is a major grayscale rice.jpg some processing, the brightness of the image to eliminate inconsistencies rice.jpg the background, and use the modified threshold segmentation of the image is converted to binary image, use back image contour detection the number of objects in the target and statistical properties.
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Size: 4096 |
Author: 高东旭 |
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Description: 本代码主要是对一幅灰度图像rice.jpg进行一些处理，消除rice.jpg图像中的亮度不一致的背景，并使用阀值分割将修改后的图像转换为二值图像，使用轮廓检测返回图像中目标对象的个数以及统计属性。-This code is a majorrice.jpg some gray-scale image processing, eliminatingrice.jpg image brightness inconsistent background and used the modified threshold segmentation of images into binary images, using Contour detection of the target object returns the number of images and statistical properties.
Platform: |
Size: 2048 |
Author: 李俊刚 |
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Description: 边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰
-Edge of the basic characteristics of the image, is the first step in image segmentation. Classical edge detection methods such as: Roberts, Sobel, Prewitt, Kirsch, and, Laplace, and other methods are basically small neighborhood structure of the original image pixel edge detection operator to carry the line of the first derivative or second-order differential operator, seeking gradient maximum or second derivative zero-crossing, and finally select the appropriate threshold to extract boundary. Because these algorithms involve the computation of the gradient, and therefore are sensitive to noise, and calculate the volume shortcomings. In practice, the SUSAN algorithm based on the surrounding pixel gray
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Size: 1097728 |
Author: 干预 |
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Description: 图像处理的一般方法，包括图像的增强、二值化阀值分割法、边缘检测法、流域分割法， 计算扁圆度、方向角、孔隙率等-The general method of image processing, including image enhancement, binarization threshold segmentation, edge detection, watershed segmentation method and calculate oblate, orientation angle, porosity, etc.
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Size: 46080 |
Author: 黎伟 |
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Description: matlab裂缝图像分割，先进行二值化，后边缘检测，最后用ostu类方间法阀值分割。-crack matlab image segmentation, binarization first, after edge detection, and finally between ostu class threshold segmentation method.
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Size: 1024 |
Author: 李涛 |
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Description: 图像处理的一般方法，包括图像的增强、二值化阀值分割法、边缘检测法、流域分割法， 计算扁圆度、方向角、孔隙率-General method for image processing, including image enhancement, binarization threshold segmentation method, edge detection, watershed segmentation method to calculate the oblate degree, direction angle, porosity
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Size: 67584 |
Author: 钱先洋 |
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