Description: 用C编写基于凌阳SPCE061A芯片的图象识别模块可实现（1）获得数据并处理。（2）控制按扭KEY1，播放物体的形状和颜色。（3）分辩的颜色：红色、绿色、蓝色、黄色。（4）分辩的形状：正方形、长方形、圆形、三角形。（5）控制按键KEY2，小车跟着红色的物体移动，别的颜色不做跟踪。-prepared based on the C Sunplus SPCE061A chip image recognition module can be realized (1) access to data and handled. (2) the control buttons KEY1 broadcast the shape of the object and color. (3) differentiate colors : red, green, blue and yellow. (4) distinguish shapes : square, rectangular, circular, triangular. (5) KEY2 control buttons, a red car with mobile objects, not another color tracking. Platform: |
Size: 23608 |
Author:三石 |
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Description: 利用矩特征可以从二维图像识别三维目标,4阶矩的图像峰值反映了目标的形状,为了使它具有平移、比例和旋转不变性,作者对其进行了归一化处理。-use Moments from the three-dimensional two-dimensional image recognition, four bands peak moments of images reflect the shape of the target, In order to give it scale, translation and rotation invariant, the author of its normalized treatment. Platform: |
Size: 142592 |
Author:王城 |
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Description: 图像模式识别的聚类器设计，采用VC++实现，和分类器设计相对应。-the designation of image pattern recognation,VC++ is adopted, along with the sort ware designation Platform: |
Size: 7922688 |
Author:zxm |
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Description: 用C编写基于凌阳SPCE061A芯片的图象识别模块可实现（1）获得数据并处理。（2）控制按扭KEY1，播放物体的形状和颜色。（3）分辩的颜色：红色、绿色、蓝色、黄色。（4）分辩的形状：正方形、长方形、圆形、三角形。（5）控制按键KEY2，小车跟着红色的物体移动，别的颜色不做跟踪。-prepared based on the C Sunplus SPCE061A chip image recognition module can be realized (1) access to data and handled. (2) the control buttons KEY1 broadcast the shape of the object and color. (3) differentiate colors : red, green, blue and yellow. (4) distinguish shapes : square, rectangular, circular, triangular. (5) KEY2 control buttons, a red car with mobile objects, not another color tracking. Platform: |
Size: 23552 |
Author:三石 |
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Description: 利用矩特征可以从二维图像识别三维目标,4阶矩的图像峰值反映了目标的形状,为了使它具有平移、比例和旋转不变性,作者对其进行了归一化处理。-use Moments from the three-dimensional two-dimensional image recognition, four bands peak moments of images reflect the shape of the target, In order to give it scale, translation and rotation invariant, the author of its normalized treatment. Platform: |
Size: 142336 |
Author:王城 |
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Description: 计算机视觉是在图像处理的基础上发展起来的新兴学科。计算机视觉从信息处理的层次研究视觉信息的认知过程，研究视觉信息处理的计算理论、表达与计算方法。本书系统地介绍了计算机视觉的重要理论与算法，包括图像特征提取，摄像机定标，立体视觉，运动视觉(或称序列图像分析)，由图像灰度恢复三维物体形状的方法，物体建模与识别方法以及距离图像分析方法等。-in computer vision image processing on the basis of the development of a new subject. Computer processing of visual information from the study on the levels of visual information cognitive process, the study of visual information processing theory. Expression and calculation methods. The book systematically introduces computer vision of the important theory and algorithms, including image feature extraction, camera calibration, stereo vision, sports vision (or image sequence analysis), gray-scale images from 3D object shape, Object Modeling and Recognition and the distance between image analysis methods. Platform: |
Size: 13977600 |
Author:谢志东 |
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Description: 在图像处理中 基于形状的描述符 特别是基于轮廓的算法是以识别轮廓为基础的 此代码能够准确，快速地分割图像。-in image processing based on the shape of the descriptor is based on the outline in particular the recognition algorithm is based on the contours of this generation code to be accurate, and fast image segmentation. Platform: |
Size: 56320 |
Author:xiaoqi |
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Description: 图像识别模组由光学镜头、CMOS传感器（SPCA561A）、图像处理芯片（SPCA563A）组成。 SPCA563A分析和处理SPCA561A传过来的图像信号，并得出相应的信息（颜色、形状等等）。此模组接口简单，应用方便，容易与 MCU 结合使用，我们下面将要介绍的 Demo 就是其与SPCE061A结合的例子。 -Image recognition module by the optical lens, CMOS sensor (SPCA561A), image processing chip (SPCA563A) component. SPCA563A analysis and treatment SPCA561A Chuan-up image signal, and came to the corresponding information (color, shape, etc.). This module interface is simple, convenient, easy to used in conjunction with the MCU, we introduce the following to be the Demo is its combination with SPCE061A example. Platform: |
Size: 1324032 |
Author:郑坤 |
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Description: active shape model的matlab代码实现，用于图像处理，模式识别等方面-active shape model of matlab code for image processing, pattern recognition, etc. Platform: |
Size: 25600 |
Author:崔金龙 |
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Description: 基于轮廓的形状特征提取
1)该程序在VC＋＋6.0下编译通过；
2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定）
64×64 24bit BMP：
图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别；
120×120 24bit BMP：
图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别；
3)结果说明：
MCS.dat保存了Mountain Climbing Sequence。
-Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence. Platform: |
Size: 3072 |
Author:方哲 |
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Description: 图像识别，通过矩阵计算分别读入图像的形状，可区分三角，椭圆，圆形，长方等规则几何-Image recognition, through the matrix, respectively, read into the shape of images, can be distinguished triangle, oval, round, rectangular, such as the rules of geometry Platform: |
Size: 36864 |
Author:徐宁 |
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Description: 图像细化 （Image Thinning），一般指二值图像的骨架化（Image Skeletonization） 的一种操作运算。
一个图像的骨架由一些线和曲线（比较理想的是单像素宽度），骨架可以提供一个图像目标的尺寸和形状信息，因而在数字图像分析中具有重要的地位，图像细化（骨架化）是进行图像识别、线条类图像目标分析的重要手段。
本文将探讨骨架的一些性质，给出如何判断一个像素是否属于图像目标的骨架，最后将给出获得图像目标骨架的基本算法。-Image Thinning (Image Thinning), generally refers to binary image of the skeleton (Image Skeletonization) an operation of computing. An image of the skeleton by a number of lines and curves (more ideal is a single pixel width), can provide a skeleton image target size and shape information, which in the digital image analysis in an important position, image thinning (skeleton of) is image recognition, line-type image of an important means of target analysis. This article will explore some properties of the skeleton is given how to determine whether a pixel belongs to the target image of the skeleton, the final goal will be given access to images of the basic algorithm skeleton. Platform: |
Size: 110592 |
Author:魏建亮 |
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Description: 這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式-1- Read the RGB (colored) image in from user.
2- Convert image from (RGB) colored to gray image.
3- Threshold the image (convert gray image to binary image).
4- Invert the binary image (in order to speed up the time of processing).
5- Find the boundaries concentrate.
6- Determine shapes properties (ratio of dimensions, roundness).
7- Classify shapes according to its properties. Platform: |
Size: 51200 |
Author:tom |
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Description: 图象 处 理和模式识别中经常根据物体的形状来识别物
体或对物体进行分类。形状特征可以分为区域特征和边界特
征两大类，矩不变量是最基本的形状特征。Hu提出的矩不变
量是图象区域内部细节的描述，是一种区域特征。它是建立
在对一个区域内部灰度值的统计分析基础上的，需要目标区
域的所有象素参与运算-Image processing and pattern recognition are often based on the shape of objects to identify objects or to classify objects. Shape characteristics and regional characteristics can be divided into two major categories of border characteristics, moment invariants is the most basic features of the shape. Hu moment invariants proposed by the image region is described in detail, the characteristics of a region. It is based on a gray value of region on the basis of statistical analysis, the needs of the target region to participate in all-pixel operations Platform: |
Size: 653312 |
Author:martin |
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Description: 状是含有高层语义信息的视觉特征，在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征，傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理，应用非常广泛。然而自然图像的形状特征通常是杂乱的，有噪声的，提出了一种图像预处理方法，得到净化的形状图像，通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
Platform: |
Size: 102400 |
Author:倪晓雷 |
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Description: 图像识别模块，凌阳单片机实现，包含电路和源程序，可实现形状识别和颜色识别。-Image recognition module, Sunplus to achieve, including circuits and source code can be realized shape recognition and color recognition. Platform: |
Size: 923648 |
Author:蓝光 |
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Description: 这是一个关于图像识别的程序，可以根据图像中的某些点，识别出图像的形状-This is a program on the image recognition, according to some point in the image, identify the shape of the image Platform: |
Size: 437248 |
Author:谢师 |
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Description: 主要讲述基于图像的形状分析和分类的理论和实践方法，是图像处理和模式识别方面的好书-Mainly about theory and practice for image-based shape analysis and classification. A good book for image processing and pattern recognition. Platform: |
Size: 9947136 |
Author:fruitqin |
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Search - image recognition shape