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此设计要求能够实现将医学图像进行识别的过程,包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像,灰度图像的二值化,直方图修正,去除干扰、噪声以及差异,边缘增强等;第二模块是图像的特征提取。由于对象的物理与几何特性差异,在影像中表现为局部区域的灰度产生明显变化,形成影像特征,而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征,得到能反映图像内容区别于其他事物的本质特征;分类判决作为第三模块,则是要在第二步的基础上采用某种分
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第4章 图像增强(对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强);-Chapter 4 Image Enhancement (contrast enhancement, the gray-scale transformation, dressing histogram, image smoothing, sharpening, Pseudo-color and false color enhancement);
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Matlab环境下的几个数字图像处理实验,包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Matlab environment, several digital image processing experiments, including the image gray level transformation, histogram equalization, histogram matching, neighborhood average, local
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计算机辅助诊断数字医疗图像增强方法中,简单地应用直方图均衡化方法是不完善
的,直方图匹配化是常规辅助方法之一·以牙X线根尖片图像为例,分析图像特征,采用Gauss函
数来构造多峰曲线,生成匹配化直方图,是一种实用增强方法
-Computer-aided diagnosis of digital medical image enhancement methods, the simple application of histogram equalization method is im
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数字图像增强是图像处理的一个重要分支它对图像整体或局部特征能有效地改善直方图是图像处理中最重要的基本概念之一它能有效地用于图像增强基于数字图像增强对图像处理的重要性本文主要
讨论了图像直方图 直方图均衡化 直方图规定化图像增强技术 并给出了相关的基本原理 同时用
语言加以实现并且给出标准的数字图像在各种处理前与处理后的对照图像和直方图
-Digital image enhancement image processing is an important branch of its w
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This paper presents a novel technique to increase
the quality of medical images based on Histogram
Equalization. In the proposed method first we have
applied a noise reduction method and then we apply
some suitable preprocessing on histogram
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神经网络的人脸识别 有错误 不知道怎么改-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound,
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A journal paper that relate into image enhancement developed from histogram equalization
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CLAHE: contrast limited adaptive histogram equalization is one of the most famous algorithm in image enhancement
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Performance of Compound Enhancement
Algorithms on Dental Radiograph Images
Abstract—The purpose of this research is to compare the original
intra-oral digital dental radiograph images with images that are
enhanced using a combination of image
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A Novel Approach for Contrast Enhancement of Gray Scale Images Using Histogram Equalization Technique
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A Novel Approach for Contrast Enhancement Based on Histogram
Equalization
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Enhancement of Images Using Histogram Processing Techniques
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Survey of Contrast Enhancement Techniques based
on Histogram Equalization
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Histogram equalization is widely used for contrast
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogr
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this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing,
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图像增强(直方图均衡化、规定化和同态滤波)-Image enhancement (histogram equalization, the provisions of, and homomorphic filtering)
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Image Inversion and Bi Level Histogram Equalization for Contrast Enhancement-Image Inversion and Bi Level Histogram Equalization for Contrast Enhancement
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Image Inversion and Bi Level Histogram Equalization for Contrast Enhancement
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关于图像增强直方图均衡化的经典论文,讲述了直方图规定化的方法。-Classic papers about image enhancement histogram equalization, tells the story of the method of histogram specification.
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