搜索资源列表
DImageProcess
- 介绍了灰度图像主要的一些经典处理方法，如增强，恢复，边缘检测，几何变换，压缩编码，界面变换等。在一个主程序中实现所有的功能-Describes some of the major classical gray image processing method, such as enhancement, restoration, edge detection, geometric transformation, coding, interface transform. In a main progr
ImageProcessing
- 各种图像处理算法的源代码，包括图像压缩（HUFFMAN编码，JPEG编码，小波变换），图像灰度变换，图像正交变换，边缘检测，图像水印-Various image processing algorithms source code, including image compression (HUFFMAN coding, JPEG coding, wavelet transform), image gray level transformation, image orthogonal transf
Prewittedgedetection
- 经典的边缘提取方法是考察图像的每个像素在某个邻域内灰度的变化，利用边缘邻近一阶或二阶方向导数变化规律，用简单的方法检测边缘，这种方法称为边缘检测局部算子法-Image with a Prewitt edge detection operator
plateVs2003
- 自已用Vs 2003开发的，车牌识别程序源码，很有用的，实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。 -Their own development with the VC, license plate re
GUImatlab
- 基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化-GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast,
RGB_Gray_Canny
- OpenCV实现图像的灰度化，并采用Canny实现灰度图像的边缘检测！-OpenCV for image gradation and gray-scale image using Canny edge detection to achieve!
canny
- Canny边缘检测，可以较为精确地检测清晰的图像边缘，并显示灰度图和检测图。-Canny edge detection, can more accurately detect a clear edge, and displays the grayscale and test plans.
subpixel
- 基于多尺度小波特征的高光谱影像亚像素目标识别、基于灰度矩的CCD图像亚像素边缘检测算法研究、基于矩的亚像素边缘检测算法的对比研究等-Based on multi-scale wavelet feature in Hyperspectral subpixel target identification, Gray moment CCD image sub-pixel edge detection algorithm, based on the moment of sub-pixel edge de
VC
- 包括图像处理的许多算法。例如图像分割、边缘检测、编码、匹配、灰度直方图。-Including many image processing algorithms. For example, image segmentation, edge detection, coding, matching, histogram.
canny
- IplImage* src=cvLoadImage("lena.jpg") IplImage* dst = cvCreateImage( cvGetSize(src), 8, 1 ) IplImage* color_dst = cvCreateImage( cvGetSize(src), 8, 3 ) CvMemStorage* storage = cvCreateMemStorage(0) //存储检测到线段，当然可以是N*1的矩阵数列，如果实际的直线数量多余N，那么最大可能
0611090109
- 对bmp灰度图像的傅里叶变换，几何变换，边缘检测，缩放等处理-Bmp grayscale image of the Fourier transform, geometric transformations, edge detection, scaling and other processing
processing
- 通过设计GUI界面，实现图像的读取、保存、灰度变化、直方图、多种增强、滤波，图像复原、多种边缘检测、图像放大、缩小等 -Through the design of GUI interfaces to achieve the image to read, save, gray change, histogram, a variety of enhancement, filtering, image restoration, multi-edge detection, image scaling
edge-detection
- 将彩色图像转换为灰度图像并对其进行边缘检测 vs2008+opencv2.1运行成功-A color image is converted to grayscale and edge detection of its successful run vs2008+ opencv2.1
experiments
- 上课的课程：数字图像处理，同Labwindows/CVI实现的多个小程序，分别有：多种函数曲线的生成、多种函数曲线的生成并显示极值、二值图像的边缘追踪、二值图像的形态学处理、根据直方图选择阈值、灰度变换、均值滤波、粒子图像分析、图像的边缘检测、正弦曲线生成、直方图均衡化、直方图显示、中值滤波、自动计算阈值。-Class courses: digital image processing, Labwindows/CVI realize with multiple small program, a
visualPc
- 对图像进行各种处理，例如二值化处理，边缘检测，阀值计算，灰度图像处理等。-A variety of image processing, for example, binarization, edge detection, threshold calculation, gray image processing.
90163
- 图像处理，实现了数字图像边缘检测，RGB与HIS之间的转换及图像灰度化-Image processing, digital image edge detection, RGB and HIS conversion and between the gray-scale image
MATLAB-based-image-processing-
- 利用MATLAB实现图像前期预处理功能（包括彩色图像的灰度化变换等、一般灰度图像的二值化处理、色彩增强等），边缘检测，图像分割，图像特征提取等图像处理。-Early use of MATLAB for image pre-processing functions (including color images of gray-scale transform, the general gray-scale binary image processing, color enhancement, et
Edge-Detection
- 能够对指定路径的图像进行大小减半，并对其灰度图像进行边缘检测，在显示窗口显示-Able to specify the path of the image size by half, and its gray-scale image edge detection, in the display window
color-image-seg
- 由于彩色图像提供了比灰度图像更为丰富的信息, 因此彩色图像处理正受到人们越来越多的关注。彩色图像分割是彩色图像处理的重要问题, 彩色图像分割可以看成是灰度图像分割技术在各种颜色空间上的应用, 为了使该领域的研究人员对当前各种彩色图像分割方法有较全面的了解, 因此对各种彩色图像分割方法进行了系统论述, 即先对各种颜色空间进行简单介绍, 然后对直方图阈值法、特征空间聚类、基于区域的方法、边缘检测、模糊方法、神经元网络、基于物理模型方法等主要的彩色图像分割技术进行综述, 并比较了它们的优缺点, 通过比
feature_detection
- 此函数可以被用在角点和边缘检测，无论是彩色或者灰度图像都行.-This function can be used in corner and edge detection, whether it is color or grayscale images will do.