Description: Matlab在图像处理与目标识别方面的应用实验程序示例。包括三个程序以及详细文档：一、染色体识别与统计，二、汽车牌照定位与字符识别，三、基于BP神经网络识别字符的简单实验。-Matlab in image processing and object recognition on the application of experimental procedures example. Including the three procedures and the detailed documentation : one chromosome to identify and statistics, two vehicle license positioning and character recognition, 3, BP neural network-based character recognition simple experiment. Platform: |
Size: 1249853 |
Author:林健 |
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Description: statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy
filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a
posterior step to perform image segmentation and object recognition.-statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition. Platform: |
Size: 1002496 |
Author:Shao Dan |
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Description: 基于泊松模型的图像检索和识别
原文： The Rate Adapting Poisson (RAP) model for Information Retrieval and Object Recognition-Poisson model-based image retrieval and identification of the original: The Rate Adapting Poisson (RAP) model for Information Retrieval and Object Recognition Platform: |
Size: 201728 |
Author:leeyoungae |
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Description: 本源码是利用视觉仿生学成果进行目标识别的最新成果。c1 c2特征是MIT的Poggio教授的研究小组根据人眼视觉仿生的研究成果提出的特征。运用该特征对自然图像中的目标识别取得了较好的效果。本压缩包为提取C1 C2特征的Matlab源码。C1 C2特征的详细说明参见IEEE PAMI 2007上的文献"Robust Object Recognition with Cortex-Like Mechanisms"。-The source is the use of visual object recognition bionics results of the latest achievements. c1 c2 characterized by MIT Professor of Poggio research team in accordance with human visual biomimetic study the characteristics of the results. Use of the characteristics of the natural image object recognition has achieved good results. The compressed packet to extract the characteristics of C1 C2 source Matlab. C1 C2 features a detailed description see the IEEE PAMI 2007 literature Robust Object Recognition with Cortex-Like Mechanisms . Platform: |
Size: 16384 |
Author:csb |
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Description: PASCAL Visual Object Classes，视觉识别竞赛的程序，共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。-PASCAL Visual Object Classes, Competition visual recognition procedures, a total of 20 major categories of the visual target. With code written in MATLAB. Able to generate precision/recall graph. Platform: |
Size: 254976 |
Author:yangchengbo |
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Description: 用于目标识别的线性辨别分析主程序,尤其是多目标识别的应用。-Target identification for the linear analysis to identify the main program, in particular, many object recognition applications. Platform: |
Size: 9216 |
Author:付建胜 |
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Description: 去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking Platform: |
Size: 17408 |
Author:李瑞波 |
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Description: 人民邮电版图像处理源码，车牌识别，数字识别系统源代码，路线识别（机器人视觉），形态学处理，数字识别，字母识别，边缘检测，图像分割-Posts And Telecommunications News source version of image processing, license plate recognition, digital identification system source code, line identification (robot vision), morphological processing, digital identification, letter recognition, edge detection, image segmentation Platform: |
Size: 6606848 |
Author:杨山 |
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Description: 这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。-The matlab program to achieve the target object' s image segmentation and extraction technology, in the annex of the procedures for license plate detection and recognition, for example, the effect was very good. Platform: |
Size: 20480 |
Author:动荡 |
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Description: 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The paper <Robust Object Tracking using Joint Color-Texture Histogram> is published in International Journal of Pattern Recognition and Artifical Intelligence. Platform: |
Size: 3906560 |
Author:宁纪锋 |
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Description: This method is used for tracking wavelet/optical flow-based
detection for automatic target recognition in the following paper:
Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles” Platform: |
Size: 1355776 |
Author:MemoSergey |
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Description: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications. Platform: |
Size: 1024 |
Author:wangxiaofei |
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Description: 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do？的ObjectID = 13701＆的objectType =FILE下载。
-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.
A Matlab version of the face detection algorithm can be downloaded
from http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do?objectId=13701&objectType=FILE. Platform: |
Size: 1397760 |
Author:霞 |
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Description: 一个关于视频中移动物体确定的MATLAB识别-A matlab recognition program about extracting moving object in a video Platform: |
Size: 8192 |
Author:huangshenglan |
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Description: MATLAB 图像识别物体计数，将图像中的物体识别别出来，并进行计数，SIMULINK编程与开发方法。
-Count MATLAB image object recognition and object recognition in images do not come out and count, SIMULINK programming and development. Platform: |
Size: 47104 |
Author:ZHAN |
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Description: 这是MATLAB在图像处理与目标识别的应用(This is the application of MATLAB in image processing and object recognition) Platform: |
Size: 2525184 |
Author:ChristinaL
|
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Search - OBJECT RECOGNITION IN MATLAB