Description: 摘 要:针对茄子图像的灰度和颜色特点,利用MATLAB中丰富的图像处理函数,分别进行了色差分割和色调分割。在
色调分割中,采用了自动选取阈值的Otsu法。在去除残留噪音的处理中,采用标注的方法对二值图像的各连通区域进行面积
统计。保留最大面积的区域,从而使分割效果大大改善。利用多参数来衡量分割效果,使评价做到最大程度的客观、合理。-Based on the gray- level and color characteristics of eggp lant image, hue and color- difference segmentation were
conducted by using the rich image p rocessing functions embedded inMATLAB. The auto threshold- adap tivemethod ofOtsu operation
was specially used for hue segmentation. And upon the elimination of the residue noise, labelingmethod for statistical calculation was
introduced for the connected regions of the binary image. Themaximum areaswere p reserved to imp rove segmentation effects. In addi2
tion, multi- indiceswere app lied to assess the effect of segmentation, in order to get impersonal and reasonable assessment Platform: |
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Author:renyh |
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Description: 用matlab实现了视频的分割，能够读取视频的每一帧，比较相邻两帧的相似度，下把图像分块，比较每一块的相似度-Matlab achieved by video segmentation, can read each video frame, comparing the similarity of two adjacent, under the sub-image blocks, each of the similarity comparison Platform: |
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Author:haiyan |
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Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.). Platform: |
Size: 1197056 |
Author:vikas |
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Description: 可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection and two methods for thresholding are also suggested. Experimental results show that the proposed method outperforms many popular edge detection methods, including Sobel, Prewitt, Frei-Chen, and Canny both visually and by quantitative edge map evaluation. Proper parameter selection can also provide segmentation of materials such as potential threat objects in x-ray luggage scan images. Platform: |
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Author:力量 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
Size: 897024 |
Author:周二牛 |
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Description: 给出了基于DsP的图像分割算法的实现方法，以高性能数字媒体处理器DM642为核心搭建系统平台。先用MATLAB语言实现图像分割算法，再通过特定的命令加参数，以及转换
程序，将该程序转化为CCs所支持的程序，经调试、编译、链接通过后，将程序下载到DsP中，完成算法在DSP中的快速实现。实验结果表明，在DSP平台中实现图像分割算法，大大提高了运算速度，对于提高图像处理的实时性和促进图像处理系统的产品化，都具有重大意义。-DsP image is presented based on division algorithm approach to high performance DM642 digital media processor platform as the core structures. First language with the MATLAB image segmentation algorithm, and through specific commands plus parameters, and the conversion process, the program supported by the CCs into the procedure, the debugging, compile, link through, it will download to DsP program, complete algorithm The fast implementation in the DSP. Experimental results show that the DSP platform to achieve image segmentation algorithm, which greatly improved the operation speed, real-time image processing to enhance and Cujin product of image processing systems, are of great significance. Platform: |
Size: 252928 |
Author:xiliao |
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Description: Segmentation function for matlab : this fucntion convert an intensity image to a binary image by using Entropy-based method. Platform: |
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Author:AhmedMrc |
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Description: 用matlab编写的最大方差法计算灰度分割门限代码，用该函数实现利用灰度阈值分割图像的功能。-Written by matlab calculate the maximum variance threshold gray code split, with the functions for image segmentation using gray scale features. Platform: |
Size: 1024 |
Author:林安安 |
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Description: 程序可实现人眼虹膜、眼睑及睫毛分割，主要功能有：（1）虹膜内外圆的霍夫圆检测；（2）眼睑检测以及参数方程的求解；（3）睫毛的最优化阈值处理。
vc文件夹下包含以下四个内容：（1）最后编译生成的.exe文件；（2）包含主要算法的.h头文件；（3）两幅原始图像（yangjing1.bmp,yanjing2.bmp）；（4）两幅经过MATLAB进行自适应直方图均衡化的图像（yanjing11.bmp,yanjing22.bmp）-Program can achieve human iris, eyelids and eyelashes segmentation, the main features are: (1) iris inside and outside the circle Hough circle detection (2) eyelid detection and parameter equation (3) the optimal threshold eyelash treatment. vc folder contains the following four elements: (1) generated by the final compilation. exe files (2) contains the main algorithm. h header files (3) the two original image (yangjing1.bmp, yanjing2.bmp) (4) After two MATLAB adaptive histogram equalization image (yanjing11.bmp, yanjing22.bmp) Platform: |
Size: 154624 |
Author:郭卉 |
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Description: 基于MATLAB的车牌照自动识别：通过对原始图像进行预处理、车牌子图像的定位与分割、字符的识别，可以较为准确的实现车牌照的字符识别。-MATLAB-based car license plate recognition: the original image is preprocessed by the car brand positioning and image segmentation, character recognition, you can achieve more accurate character recognition vehicle license. Platform: |
Size: 261120 |
Author:郭卉 |
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Description: 运用Matlab开发环境，调用一副图像，实现图像的区域分割-By Matlab development environment, called an image, the area of image segmentation Platform: |
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Author:柳海玲 |
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Description: 分割树的实现（1.4版本）
==============================================
这个软件包包含MATLAB实现了低层次多尺度
[1]中描述的分层分割算法。
介绍
------------
低级别的图像分割的目标是检测到的所有图像区域
不论其形状，大小和内部同质化的水平。在这里，
地区被建模为一个斜坡边缘包围的像素连通集
这些不连续的幅度较大相比，连续性
区域内的变化。-Segmentation Tree Implementation (version 1.4)
==============================================
This package contains a MATLAB implementation of the low-level multiscale
hierarchical segmentation algorithm described in [1].
Introduction
------------
The goal of low-level image segmentation is to detect all image regions
regardless of their shapes, sizes, and levels of interior homogeneity. Here, a
region is modeled as a connected set of pixels that is surrounded by ramp edge
discontinuities where the magnitude of these discontinuities is large compared
to the variation inside the region. Platform: |
Size: 165888 |
Author:jjdjjf |
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Description: 利用matlab编的彩色图像分割程序，其中利用了两种方法去做的-Matlab compiled by the color image segmentation, which uses two methods to do the Platform: |
Size: 1947648 |
Author:齐齐 |
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Description: SVM支持向量机在图像分割中的应用，包含Matlab源代码和SVM所用函数。-SVM support vector machine applications, including image segmentation Matlab source code and functions used by SVM. Platform: |
Size: 134144 |
Author:yang |
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Description: 数字图像处理(DigitalImageProcessing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善） 三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长。
MATLAB和Mathematica、Maple并称为三大数学软件。它可以进行矩阵运算、绘制函数和数据、实现算法、创建用户界面、连接其他编程语言的程序等，主要应用于工程计算、控制设计、信号处理与通讯、图像处理、信号检测、金融建模设计与分析等领域。
-Digital image processing (DigitalImageProcessing) is a computer image noise removal, enhanced recovery, segmentation, and processing methods and techniques for extracting characteristics. Generation and rapid development of digital image processing is mainly influenced by three factors: first, the development of the computer mathematical development (in particular, the founder of the theory of discrete mathematics and perfect) Third, a wide range of agriculture and animal husbandry, forestry, environment the growth of the demand for military, industrial and medical applications. MATLAB and Mathematica, Maple and called three mathematical software. It can carry out the matrix operations, drawing functions and data, implementation algorithm to create a user interface, connected to other programming languages, procedures, mainly used in engineering calculations, control design, signal processing and communications, image processing, signal detection, financial modeling design analysis a Platform: |
Size: 19962880 |
Author:woody |
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Description: 用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括：
1、图像增强算法
（1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）；
（2）直方图均衡：可在界面上对比均衡前后的效果。
2、图像变换算法
（3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图；
（4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。
3、图像分割算法
（5）采用最优阈值算法对灰度图像进行分割；
（6）用Canny算法对灰度图像进行边缘检测；
（7）用hough变换，检测边缘图像中的直线，并用不同颜色将检测出的直线叠加显示到原图像上。
-Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images ( Platform: |
Size: 822272 |
Author:张涛 |
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Search - image segmentation by matlab