-
TWITS_vv
2007年ICIP国际会议论文的源码,用于实现对图像的反卷积恢复。(2007 International Conference on ICIP paper source for the realization of the restoration of image deconvolution.)
- 2020-07-03 04:00:01下载
- 积分:1
-
OpenSURF_version1c
基于SURF算法的图像拼接程序,执行效率高于SIFT算法(Executive efficient than SIFT algorithm based on the the SURF algorithm of image stitching procedure)
- 2020-09-07 18:18:03下载
- 积分:1
-
RL(Richardson-Lucy)
采用基于RL(Richardson-Lucy)算法的超分辨图像复原。能够实现图像的频谱外推,得到期望的复原图像。(The RL (Richardson-Lucy) algorithm-based super-resolution image restoration. Extrapolation of image spectrum, to obtain the desired restored image.)
- 2012-05-04 12:01:35下载
- 积分:1
-
CameraLink_Kintex7-andTMS320C6678
面向CameraLink接口的Kintex7与TMS320C6678视觉图像处理系统硬件设计说明(Hardware design of Kintex 7 and TMS320C3378 with CameraLink interface)
- 2015-06-30 21:42:00下载
- 积分:1
-
FLICM-Yan47
说明: 此代码是由FCM算法改变的且用于图像分割,比FCM算法对图像的分割的效果更好(This code is changed by FCM algorithm and is used for image segmentation, which is better than FCM algorithm for image segmentation)
- 2019-11-20 15:08:33下载
- 积分:1
-
图片雾化效果 实例
图片雾化效果 实例
- 2013-06-09下载
- 积分:1
-
edge_forcing
心血管分割,多尺度, 对于中心点的位置有很强的鲁棒性(Edge forcing)
- 2021-02-14 23:09:48下载
- 积分:1
-
lsd
LSD直线检测算法的原理、步骤、结果文字资料以及具体程序实现(The LSD line detection algorithm principle, the steps of text information as well as specific procedures to achieve)
- 2013-05-01 04:38:53下载
- 积分:1
-
pics_match
用于图像拷贝检测的图像匹配,提取图像的SIFT特征点,构成图像的特征。(For image copy detection of image matching, image SIFT feature point extraction, and then sift feature point the image characteristics)
- 2013-08-27 15:46:21下载
- 积分:1
-
边缘检测
说明: 边缘检测是图像处理和计算机视觉中的基本问题,边缘检测的目的是标识数字图像中亮度变化明显的点。图像属性中的显著变化通常反映了属性的重要事件和变化。这些包括(i)深度上的不连续、(ii)表面方向不连续、(iii)物质属性变化和(iv)场景照明变化。边缘检测是图像处理和计算机视觉中,尤其是特征提取中的一个研究领域。
一阶:?Roberts Cross算子,Prewitt算子,Sobel算子, Kirsch算子,罗盘算子;
二阶: Marr-Hildreth,在梯度方向的二阶导数过零点,Canny算子,Laplacian算子。(Edge detection is a basic problem in image processing and computer vision. Significant changes in image attributes usually reflect significant events and changes in attributes. These include (I) discontinuities in depth, (ii) discontinuities in surface orientation, (iii) changes in material properties, and (iv) changes in scene lighting. Edge detection is a research field in image processing and computer vision, especially in feature extraction.)
- 2020-05-24 14:12:50下载
- 积分:1