Description: 本方法是对二维医学图像实现的Walsh变换,属于预处理范围,为下一步的图像分割,配准等打下基础-This method is the realization of two-dimensional medical images of the Walsh transform, belong to the scope of pre-treatment, for the next phase of image segmentation, registration, etc. to lay the groundwork Platform: |
Size: 2955264 |
Author:hujin |
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Description: 对于叶片面积的计算,进行图像预处理,灰度转换、直方图、去噪声等,最终计算出叶片面积的像素和。-For the calculation of leaf area, image pre-processing, gray-scale conversion, histogram, to noise, etc., and ultimately calculate the leaf area and the pixels. Platform: |
Size: 3072 |
Author:苏忠勇 |
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Description: 一个基于GUI的界面系统设计的程序,主要是对叶片面积的求的目的,对图像进行相应的预处理,求出叶片面积的有效像素。-A GUI-based interface system design process, mainly on leaf area for the purpose of the corresponding image pre-processing, to derive the effective leaf area pixels. Platform: |
Size: 4096 |
Author:苏忠勇 |
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Description: 介绍并实现了一套完整的指纹图像预处理方法,通过剩余块处理和平滑方法改进了传统
的指纹图像分割算法 使用方向匹配的方法对指纹图像方向块进行方向滤波完成图像增强 并除去细化后存在的短线和毛刺。该算法对Secugen指纹仪采集的图像和FVC2004数据库中的指纹图像进行实验,结果表明经过预处理后的指纹图像质量得到明显增强,方便进行细节特征提取。-Introduction and realize a complete set of fingerprint image pre-processing methods, and treatment through the remaining block smoothing method to improve the traditional fingerprint image segmentation algorithm using the direction of matching the method of fingerprint image filtering direction the direction of block completion of image enhancement and refinement to remove after the the existence of short-term and burr. The algorithm for fingerprint Secugen Miriam Collection FVC2004 images and fingerprint images in the database to conduct experiments, results showed that after pretreatment of the fingerprint image quality has been markedly enhanced, to facilitate the details of feature extraction. Platform: |
Size: 750592 |
Author:张杰 |
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Description: 背景差分法对运动汽车的检测,对检测得到的汽车图像进行预处理和边缘提取-Background difference method for the detection of movement of motor vehicles, the vehicle has been detected image pre-processing and edge extraction Platform: |
Size: 16384 |
Author:温鑫 |
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Description: 这是一个人脸识别的程序,先对图像预处理,然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction. Platform: |
Size: 2676736 |
Author:ll |
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Description: 图像比对是以原件的图像为基准,对待鉴定件图像进行预处理、定位、配准;再对原件及待鉴定件的图像进行相似度比对;计算出两者的相似度数值。 -Image than on the original image is based on identification of pieces of treated image pre-processing, positioning, registration again and to be identified on the original piece of image similarity matching calculate the similarity between the two values. Platform: |
Size: 3072 |
Author: |
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Description: 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算
法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相
结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion. Platform: |
Size: 109568 |
Author:chenruibao |
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Description: 根据指纹的固有规律,提出了一套较完整的指纹图像预处理和特征提取算法。改进了指纹脊线频率求取算法和二值图像去孔噪声
算法,并提出了一种新的滤除指纹伪特征点的方法。通过对上百幅不同质量的指纹图像进行测试,获得了较好的效果。
关键词:指纹;预处理;特征提取-According to the inherent laws of fingerprints, a set of more complete fingerprint image pre-processing and feature extraction algorithm. To improve the frequency of the fingerprint ridge strike algorithms and binary image noise algorithm to hole, and filter out a new fingerprint method of pseudo-feature points. Increase by hundreds of different fingerprint image quality testing, to obtain good results. Key words: fingerprint pretreatment Feature Extraction Platform: |
Size: 200704 |
Author:martin |
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Description: 本文介绍了MATLAB 语言的特点以及图像处理工具箱实现的经典图像处理
技术。应用该工具箱对一实拍的芯片图像进行前期预处理,通过实例验证了该语言具有强大的矩
阵运算与图形处理能力,是一种简洁易学,可读性强、功能强大的应用软件,对它的应用可以快
速实现模拟仿真,大大提高实验效率。-This article describes the characteristics of the MATLAB language and image processing toolbox to achieve the classic image processing techniques. Application of the toolbox of a chip shot is pre-image pre-processing, an example of the language has a powerful matrix calculation and graphics processing capability, is a simple and easy to learn, readable, and powerful software applications, on the its application can quickly achieve the simulation, significantly improve the efficiency of the experiment. Platform: |
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Author:王瑜 |
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Description: 本文设计基于DCT的人脸识别系统,首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用;然后研究了人脸识别进行预处理,讨论了人脸识别预处理的其他方法,分析各种方法的利弊,最后采用DCT(离散余弦变换)实现人脸图像预处理中的降维处理;接下来对人脸图像的特征提取进行了研究,简单叙述了几何特征提取和代数特征提取,同时深入研究了基于DCT和PCA变换的人脸图像特征提取,从而实现是否对人脸识别系统识别率有所提高的研究;对于分类器的选择,本文对两种分类器进行了探讨,即最近邻分类器和BP神经网络分类器,同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器,并对BP神经网络进行分类的算法进行设计,BP神经网络具有学习功能,只要采用本系统对训练图片进行训练,就可以记下图像的相关信息,对于测试图片,就可以很准确的识别出该图片是属于哪个的。最后,本文对整个人脸识别系统设计实验进行了实验分析,实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura Platform: |
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Author:刘文珍 |
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