资源列表
1
- 基于符号压力函数的自适应水平集图像分割方法。 包含源代码和目标图片，可实现：初始轮廓线可置于待分割区域内部、外部或一半内部一半外部，无需人工设置。-Adaptive level set image segmentation method based on symbolic function of pressure. Contains the source code and object images can be achieved: initial contour can be divided
StringRecognition
- 上传的matlab程序代码是一个水表字符识别代码，采用BP神经网络识别。-Upload matlab code is a meter character identification code, using BP neural network.
biyeshejichengxu
- 曲波变换是基于小波发展起来的新型多尺度变换，由于加入了方向向量，所以比小波更加适合于图像去燥-Qu Bo transform is a new multi-scale wavelet transform based on the developed, due to the addition of the direction vector, so wavelet is more suitable for image denoising
Traffic-signs
- 交通标志matlab 联系资料打包，方便学习。-Traffic signs matlab contact information package, to facilitate learning.
J-UNIWARD_matlab_v11
- 一种对图像进行隐写的方法，方便大家对隐写方法的学习。-Kind of image steganography method for steganographic methods to facilitate learning.
lS
- 基于MATLAB的树叶图像特征分类识别，图像分析处理 分割 特征提取 分类识别等-MATLAB-based leaf image feature classification, image analysis and processing, such as segmentation feature extraction classification
cvi-TO-Excel
- 在CVI平台上将数据导出到EXCEL中，用C语言编程-In CVI platform will export the data into EXCEL, using C language programming
qwert
- 人脸特征匹配源代码，实现在CVI上能够读取存储在文件夹中的数据，并与程序上的数据进行匹配-Face feature matching source code to achieve the CVI can read data stored in the folder, and with the data matching program on
jimage
- 提供多聚焦图像，共有8组，适合于图像融合-Provide multi-focus image, a total of eight groups, suitable for image fusion
Image-fusion-and-image-registration
- 有关matlab的图像融合与图像配准程序。并附带了程序运行说明，简单明了。-About matlab image fusion and image registration procedures. And comes with a descr iption of the program to run, plain and simple.
edge_detection
- 本代码比较全面地给出了图像边缘检测常用的各种算法的代码，包括：基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀，对图像进行单尺度和多尺度的形态学边缘检测-This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG o
Visual-secret-sharing
- 利用拉格朗日插值方法实现灰度图像的可视密码共享技术-Implementation of visual cryptography gray image sharing technology using Lagrange interpolation method