搜索资源列表
nsdcalc
- INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE Nsdcalc.m is a Matlab program for performing the image enhancement process described in the accompanying paper. Place the program in your work directory along with the demonstration data file grav.tx
imageEdgeDetectionandSegmentation
- 基于Matlab环境开发的多种图像的边缘检测方法，能快速准确的检测出物体的边缘并标注，适用于运动物体的检测与跟踪应用。-Matlab-based environment, the development of a variety of image edge detection method can quickly and accurately detect the edge of the object and annotation applied to moving object detecti
pudn5
- edge detection algorithm in image processing
ProjectPNIcode2
- Edge detection software used in image processing algorithms it uses Prewitt and Sobel Operators [3x3][5x5][7x7] -Edge detection software used in image processing algorithms it uses Prewitt and Sobel Operators [3x3][5x5][7x7]
program1
- 本文利用MATLAB从预处理、边缘检测、车牌定位、车牌切割，字符分割、字符识别等几个方面，具体介绍了数字图像处理中车牌自动识别的原理。-In this paper , Principle of automatic license plate recognition in digital image processing is specially introduced using MATLAB from some perspectives , which conclude processing ,
hanjie
- 通过四元数和SOF对焊接的图像进行训练，从而使焊接的图形的边缘被保留，可以实现彩色图像的边缘提取-By quaternion and SOF welding training images, so that the weld edges are retained graphics, can achieve a color image edge detection
daima
- 用于图像预处理，主要有图像灰度化，边缘检测，处理后的图像可以方便进行图像匹配-For image preprocessing, mainly gray, edge detection, can be easily processed image image matching
Canny-and-Hilbert_H
- 结合canny算子以及Hilbert huang变换的图像边缘检测方法-Combined canny operator and image edge detection method Hilbert huang transform
SR---edge--estimated-PSF
- norm one calculation for optimization in image reconstriction
Medical-Image-Processing
- 医学图像处理；灰度直方图；边缘检测；灰度变换；图像增强；图像分割；-medical image processing edge detection gray-scale transformation image enhancement image segmentation
edge-image
- It is important to detect the edges of the image.It is not better than canny.
Anderson
- The goal of this project is to develop an image segmentation system for brain MRI images by integrating and adapting existing segmentation techniques. The project will combine principles image processing, neuromechanics, and stochastic inverse mo