搜索资源列表
(e-book)Advanced_Digital_Signal_Processing_and_Noi
- John Wiley & Sons - Advanced Digital Signal Processing and Noise Reduction, 2nd Edition-1
canny1986
- Canny边缘检测的原文,1986,图像处理的经典文章。-A Computational Approach to Edge Detection, by John Canny in 1986
Cannyarithmetic
- Canny 边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。-Canny edge detector is the John F. Canny in 1986, developed a multi-level edge detection algorithm.
canny_color
- The Canny edge detection operator was developed by John F. Canny in 1986 and uses a multi-stage algorithm to detect a wide range of edges in images. Most importantly, Canny also produced a computational theory of edge detection explaining why the tec
canny-web
- Canny 边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。更为重要的是 Canny 创立了边缘检测计算理论(Computational theory of edge detection)解释这项技术如何工作。-Canny edge detection operator is the John F. Canny in 1986, developed a multi-level edge detection algorithm. More important
CHAP_03
- john g.proakis的数字信号处理matlab版的第三章例题例题-john g.proakis digital signal processing matlab version of Chapter Example Example
CHAP_04
- john g.proakis的数字信号处理matlab版的第四章例题例题-john g.proakis digital signal processing matlab version of Chapter Example Example
CHAP_05
- john g.proakis的数字信号处理matlab版的第五章例题例题-john g.proakis digital signal processing matlab version of Chapter Example Example
CHAP_06
- john g.proakis的数字信号处理matlab版的第六章例题例题-john g.proakis digital signal processing matlab version of Chapter Example Example
Carte
- 在设计和分析的图像处理系统,很方便,常常需要数学来表征的形象被处理。这里有两个基本的数学表征的兴趣:确定性和统计。在deterrrvi } irrvage联合山西漳泽电力股份表示,一个数学图像函数的定义,并指出了图像性能的考虑。为一个统计irrvage表示,形象规定平均性质。以下部分将发展的确定性和统计特性的连续影像。虽然分析给出了视觉影像的语境中,许多的结果可以推广到一般的二维时变信号和领域。-Digital Image Processing: PIKS Inside, Third Editi
Retinex-in-Matlab
- Retinex in Matlab John McCann McCann Imaging Belmont, Massachusetts, USA 02478-Retinex in Matlab John McCann McCann Imaging Belmont, Massachusetts, USA 02478
Robust-Face
- 稀疏表示经典著作 John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序-# impFaceRecognition A Matlab implementation of Face Recognition using Sparse Representation the original paper: John Wright et al, Robust F