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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 documentat
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机器人程序，有对象识别，IO控制，图像处理等方面算法-robot procedures, object recognition, IO control, image processing algorithms etc.
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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 effe
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一种通用的稀疏编码方法，sparse coding，在图像去噪，目标识别等方面有着广泛的应用。-A generic sparse coding, sparse coding, in image denoising, object recognition have a wide range of applications.
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针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分
子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度 从集合的角度研究并且定义了特征之间的包含和互补关系 并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则 最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免
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：本文较为系统地介绍了纸币面值数字图象识别的计算机仿真。文中详细介绍了模版
匹配、特征点匹配、神经网络等字符识别方法，并进行了比较。根据本文研究对象的特点，选择
了从分析数字本身的拓扑结构入手，根据字符投影分布的规律来判断和识别的方法，成功实现
了纸币面值的识别。-: This article notes a more systematic introduction to digital image recognition, face value of the computer si
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功能说明：输入一幅图像，能对此图像检测关键点，这些点通常对应图像中的重要对象，可用于对象识别，也可用来作为特征进行图像分类。运行其中的例程Ldx_GoSalScale.m，就可以知道此程序的用法（调试环境matlab7.0）。-Function: input image, this image can detect critical points, these points usually correspond to an important object of the image can be
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SURF_DETECTOR
SURF (Speeded Up Robust Feature) is a robust image detector and descr iptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired
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This paper aims to present a survey of object recognition/classification methods based on image moments. We review various types of moments (geometric moments, complex moments)
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The paper investigates the problem of achieving automatic detection, recognition and
segmentation of object classes in photographs
. N
amely, given an image the
system
is expected to
automatically partiti
on the image
into semanticall
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Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and na
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If you have an image containing one or more object and you want to change their dirction to y axes, it can help you.For example in some recognition system (biometric), we need to normalize the object in image both in direction and in position for rob
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If you have an image containing one or more object and you want to change their dirction to y axes, it can help you.For example in some recognition system (biometric), we need to normalize the object in image both in direction and in position for rob
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It helps to estimate the weight
of the object in 2D image. It is based on image processing and object recognition. The system
extracts important features such as shape, color, size and texture.
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Gauss example may be used for a image in Computer vision. The classical problem in computer vision, image processing, and machine vision is that of determining whether or not the image data contains some specific object, feature, or activity.(Gauss e
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智能监控平台的网站服务基于Flask开源框架，图像识别与信息提取功能则基于cv2和tensorflow等一系列相关的第三方库。以网页的形式进行人脸识别、目标检测、目标跟踪等，并且可以存储相关的操作记录、用户登录、管理员登录(Intelligent monitoring platform's website service is based on Flask open source framework, while image recognition and information extract
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《Python计算机视觉编程》是计算机视觉编程的实践指南，依赖Python语言讲解了基础理论与算法，并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外，书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision pro
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