搜索资源列表
multiregion_fuse
- 先将图像分成一个个小区域后在进行合并,最后得到要提取的目标-First image into a small area after carrying out the merger, the final goal has been to extract
GreenDetection
- matlab官方培训教程Algorithm Development with MATLAB的示例代码,利用外接摄像头进行实时的绿色目标检测。因为是官方代码,所以规范工整,对于学习matlab图像采集、图像处理、算法开发的同学有很大帮助。-matlab Official Training Guide Algorithm Development with MATLAB example code, the use of an external camera for real-time detectio
1
- 不变矩由于对图像旋转、放大、平移具有不变性,因此广泛用于目标识别中,本程序求出了HU提出的七个不变矩-failed to translate
image-processing-
- 这是个图像处理的源代码,是本人自己编写的,实现的功能如下: 锐化、边沿检测:套用模版。另外还有一个自定义模版,供用户自行设计模版运行,从而实现其他功能,如线检测。 浮雕:本像素减相邻像素,再加一个常数得到的。 直方图均衡化则套用步骤,根据课本步骤来编写。 提取轮廓:若该点为黑点,八邻域也为黑点,则就把该点变白。 阈值分割分为固定阈值分割(即二值化)和动态阈值分割(切割若干子图,求均值,该均值即子图的阈值)。 区域生长:把种子和4邻域的点分别比较,两者之差小于阈值,且该4邻
Gray-symbiotic-matrix
- 灰度共生矩阵和纹理分析功能,能很好的对SAR图像进行分析和提取目标地物。-Gray symbiotic matrix and texture analysis function, can be a very good image of SAR analysis and extraction target features.
LPLocation_Test
- opencv 车牌定位 得到二值图像,然后再用形态学扩张与形态学侵蚀,使得目标轮廓不会出现影响判断的断点与连接,最后根据寻找米粒的方法把车牌定位-opencv license plate location to get binary image, then use morphological dilation and morphological erosion, making the target profile will not affect the judge' s break wit
highway_raw
- 运动目标检测与跟踪的红外视频图像,可用于运动目标检测与跟踪matlab仿真试验,来源于国外网站下载的。-A infrared vedio of target detection and tracing, which from oversea site.It can be used in the matlab code.
face_detect
- 基于YCbCr色彩空间的人脸跟踪,根据用户选定的目标的颜色分布特点,从样本图样中建立眼睛肤色模型, 然后根据该模型和待检测的彩色图像进行分割与匹配,从而确定候选区眼睛的位置以及人脸偏转的角度。-YCbCr color space based face tracking.
ImageLabelAndArea
- 该文件夹中有二个M文件,说明如下: label_area.m : 目标区域面积测量主函数,其中调用otsu otsu.m : 类判别分类法(otsu全局二值化算法) 4A.bmp face.bmp gun.bmp : 原始灰度图片 AreaAnalysis.txt : 记录了实验过程中目标区域的总数和各自的面积 实验结果文件夹 : 保存了实验过程中生成的图像和程序流程图-The folder has two M-file, as
ImageBoundaryExtraction
- 该文件夹中有六个M文件,说明如下: boundary_extraction.m : 目标区域边界抽取主函数,其中调用ostu、four_neighbor、eight_neighbor、globe_graph otsu.m : 类判别分类法(otsu全局二值化算法) four_neighbor.m : 四邻域法边界抽取 eight_neighbor.m : 八邻域法边界抽取 globe_graph.m : 全局检测法边界抽取 area_peri.m : 目标区域
Seg_By_MeanShift
- 均值漂移Mean Shift算法是一种基于核密度估计的处理方法,被广泛用于图像降噪,分割和目标跟踪中,本代码是图像分割实现。-Mean Shift algorithm is a kernel density estimation based approach is widely used for image noise reduction, segmentation and target tracking, the code is to achieve image segmentation.
SAR_simu
- 较详细地介绍了SAR图像点目标的仿真原理,并给出了M程序。相当有用。-More detailed descr iption of the SAR image point target simulation principles, and gives the M program. Quite useful.
kalman-predict
- 改程序应用kalman filter实现了对二维图像中运动目标的跟踪。-Application of kalman filter change procedures to achieve a two-dimensional images of the moving target tracking.
houghcircles
- 改程序应用了哈夫检测图像中存在的圆形目标houghcircle-Hough change detection procedure applied in the presence of the circular target image houghcircle
OtsuHist
- Otsu是按照图像的灰度特性,将图像分成目标和背景两部分,背景和目标之间的类间方差越大,说明构成图像的两部分的差别越大。当部分目标错分成背景或者部分背景错分成目标,都会导致两部分的差别变小。因此,使类间方差最大的分割意味着错分概率最小。-Otsu is based on gray-scale image features, the image is divided into two parts, the target and background, background and objectiv
A-Novel-Region-based-Image-Retrieval
- 提出了一种新的基于区域的图像检索方法。与传统的基于区域的检索方法相比,论文从组成目标对象的基本结构角度出发分割图像,利用少量色彩等级更易描述对象主要构成的特性提取一组能够描述对象基本组成的区域序列。采用这些区域列的面积作为图像特征,用于图像检索。-A new region-based image retrieval. Traditional region-based retrieval methods, papers from the composition of the basic struc
RHT_CIRCLE
- 用于图像识别与目标跟踪,关于图形与文字识别-For image recognition and target tracking, graphics and text recognition on
tiduruihua
- 实现了对目标图像的梯度锐化功能,用到的算法有点复杂,操作时:打开图像-点击左视图-点击显示原图按钮-点击右视图-点击菜单栏中所要功能键-To achieve the target image gradient sharpening function, the algorithm is somewhat complicated to use, operation: open the image- click the left view- Click Show full size button- c
weifenyunsuan
- 实现了对目标图像的微分运算,如:横向微分、纵向微分、一次微分、二次微分等,操作时:打开图像-点击左视图-点击显示原图按钮-点击右视图-点击菜单栏中所要功能键-To achieve the differential operation of the target image, such as: horizontal differentiation, vertical differential, first derivative, second derivative, etc., operation
SeededRegiongrowing
- 一种基于种子生长法的运动目标检测,以及图像分割技术研究与实现-Seed growth method based on the moving target detection and image segmentation technology research and implementation