Description: 能实现灰度图像中数字的识别：包括256转灰度图像，二值化，梯度锐化，去离散噪声，整体倾斜调整，字符分割，尺寸标准归一化，紧缩重排，神经网络识别等。-To achieve the number of gray-scale image recognition: includes 256 to gray image, binary, gradient sharpening to discrete noise, the overall tilt adjustment, character segmentation, size standards for normalization, tightening rearrangement, neural network recognition . Platform: |
Size: 3200000 |
Author:高源 |
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Description: 图片中的文字提取，包括图像二值化，图像归一化，图像大小压缩，图像细化等处理的C语言代码！有一定的注释，是不可多得的好资料，比较稀缺-Picture of text extraction, including image binarization, image normalization, image size compression, image thinning, such as the C language code to deal with! There are some notes, good information is hard to come by, more scarce! ! Platform: |
Size: 5120 |
Author:liguoyin |
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Description: Recognition of visual patterns and characters are independent of position, size, and orientation in the visual field has been the goal of much recent research. The method presented in this paper meets all these condition. An off-line signature matching system which is based on Hu moment invariant method is presented here. Signature matching uses a four - steps process. In first step the scanned or captured color images are initially converted to grey scale. Second step performs normalization and digitization of the original signature. Noise reduction (also called “smoothing” or “noise filtering”) is one of the most important processes in image processing is performed in third step and then moment invariant vectors are obtained in the last step. Signature matching system is implemented using MATLAB and ability of the system can be increased by using additional features in the input data set. Platform: |
Size: 8192 |
Author:shivshankar mishra |
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Description: 基于局部傅里叶变换数据的重构算法的研究,是一种比有效快速的重构算法-New features:
Switched to complex computation, fully compatible with complex data
Replaced penalty parameter continuation by R. Glowinski and P.L. Tallec s alternating direction method (ADM or ADMM)
New parameter/data normalization was added to make parameters rather independent of the image size, pixel intensity range, and number of CS measurements. To find the parameters aTV and aL1 for version 2.0 corresponding to those used in versions 1.1 or 1.0, see Lines 60, 66, and 67 of RecPF.m.
Platform: |
Size: 1802240 |
Author:liuyaxin |
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Description: 本算法是去均值归一化相关算法加自适应模板尺寸更新的图像跟踪算法，能够较好的跟踪图像，希望能帮助大家-The algorithm is to mean normalization related algorithm with adaptive template size updated image tracking algorithms, to better track, the hope can help you image Platform: |
Size: 4096 |
Author:刘焕云 |
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Description: 用matlab写的一个将人脸图像进行归一化处理的程序，主要是将多个图像的尺寸进行调整使其大小一致。-Matlab write a face image the normalization processing program, mainly to adjust the size of multiple images to make it the same size. Platform: |
Size: 44032 |
Author:戴礼青 |
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Description: 人脸识别系统中，对人脸图像进行尺寸归一化和位置校准工作-Face recognition system, the face image size normalization and calibration position Platform: |
Size: 1024 |
Author: |
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Description: 解决人脸识别系统中，人脸图像的尺寸归一化、位置校准、光照补偿、直方图均衡化、特征提取的工作-Solve the face recognition system, the size of the face image normalization, position calibration, illumination compensation, histogram equalization, feature extraction work Platform: |
Size: 4096 |
Author:瑜Orz |
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Description: VC++.NET车牌识别、字符分割与归一化处理，图像对象BMP格式，程序将读取车牌的图像信息，归一化图像大小，动态分配存储图片的像素信息的二维数组，找到图像各列，从左列开始,垂直扫描，实施图片局部分割等，有兴趣编写车牌号识别的可参考对比下。
编辑注：本源码不能在Win32环境下运行。-VC++. NET license plate recognition, character segmentation and normalization, image objects BMP format, the program will read the license plate of the image information, the normalized image size, dynamically allocated two-dimensional array of pixels stored image information, find the image of each column from the left column began, vertical scanning, implementing pictures of local segmentation, interested in writing the license plate number recognition can refer to the contrast.
Editor s note: The source can not be run under Win32 environment. Platform: |
Size: 1740800 |
Author:wpudn20 |
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Description: 我们知道很多时候会把两幅图像做线性运算，此时就需要将图像大小归一化。该算法可以很好的解决该问题。-We know a lot of the time will do two images linear operation, the image size normalization is required at this time.The algorithm can well solve the problem. Platform: |
Size: 1024 |
Author:zhaoyanxi |
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Description: :人耳识别系统中,需要根据特征提取的要求实现图像的自动归一化,并且选择合适的依据使归一化后的结果具有一定的有效性和合理性。提出了一种新的外耳长轴标记法,根据外耳长轴将人耳统一到标准的尺寸和角度 运用主动形状模型算法,实现了外耳轮廓的自动搜索,且对算法进行了改进,调整了模型的初始位置。实验证明,改进后的主动形状模型(ASM)能更快速准确地收敛,且归一化的方法能够合理地将人耳标准化,为后续的特征识别提供了保障。-In the ear recognition system, it is required to realize the automatic normalization of the image according to the requirement of the feature extraction, and to the appropriate basis to make the results of the normalization has a certain validity and rationality. A new auricle major axis labeling method is proposed. According to the long axis of the outer ear will ear into a unified standard size and angle using active shape model algorithm, the realization of the automatic search of the outer ear contour and the algorithm was improved to adjust the initial position of the model. The experimental results show that the improved active shape model (ASM) can converge more quickly and accurately, and the normalization method is able to provide the guarantee for the subsequent feature recognition. Platform: |
Size: 397312 |
Author:王近两 |
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Search - image size normalization