-
temp
Radon 算法的实现及原理讲解,个人整理的重要资料.(Radon algorithm and explain the principle, personal collation of vital information.)
- 2007-10-23 23:35:06下载
- 积分:1
-
SSDA
SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图,再到源图像中找到小图所处的位置。(SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.)
- 2010-08-19 09:21:06下载
- 积分:1
-
matlab 处理
对图中微流道各个形状模块进行分割,并计算了微流道的宽度,还有入射光钎到接受光纤的距离。(The specific module is divided and the length and width are calculated.)
- 2017-12-26 10:33:27下载
- 积分:1
-
BEMD-master
说明: BMED二维经验模态分解,用于处理二维信号(Two dimensional empirical mode decomposition)
- 2020-11-17 09:49:39下载
- 积分:1
-
ostufish
ostu与鱼群算法相结合,并且用matlab实现(ostu algorithm combined with the fish, and using matlab)
- 2021-03-01 11:09:35下载
- 积分:1
-
face_check_color_segmentation
说明: Matlab编写的程序代码,包括基于肤色的人脸检测,根据人脸图像判别眼睛的状态(睁眼及闭眼)(Matlab program written in code, including color-based face detection, face image in accordance with the state of discriminant eyes (eyes open and eyes closed))
- 2021-05-12 19:30:03下载
- 积分:1
-
PM
说明: Perona和Malik在热传导方程的基础上,建立了各向异性扩散方程并将其应用到了图像处理中尺度空间的图像平滑上,该模型针对图像的边缘部分和非边缘部分进行不同性质的图像处理,同时解算方程的迭代格式简单,克服传统滤波的主要缺陷,是图像质量大为改善,为图像的边缘检测和增强开辟了新的方向。(This process smoothes regions while preserving, and enhancing, the contrast at sharp intensity gradients.)
- 2011-07-04 21:30:44下载
- 积分:1
-
GAC_upwind
本程序采用迎风方案实现推广GAC模型的水平集方法,希望大家借鉴。(This procedure uses the wind to promote GAC model programs to achieve the level set, and I hope everybody' s reference.)
- 2009-10-07 21:48:19下载
- 积分:1
-
SURF-based-image-stitching
SURF算法作为一种新近出现的特征提取方法,在重复度、独特性、鲁棒性3个方面,均超越或接近以往提出的同类方法,并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。
采用SURF算法对图像进行检测,其主要是用Hessian矩阵对图像进行检测,对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配(NN)、随机抽样一致性(RANSAC)算法和最小二乘法参数优化(LM)对特征点进行提纯匹配。最后在两幅图像中进行坐标变换,达到统一坐标系和图像拼接的效果。
(SURF(Speeded Up Robust Features) as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching.
This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
)
- 2014-08-30 15:12:42下载
- 积分:1
-
Ostu
说明: 取一个最优阈值把原图像分为前景色与背景色,两部分的类间方差越大,说明两部分差别越大,便能有效的分割图像。(Image threshold segmentation)
- 2019-12-16 16:01:49下载
- 积分:1