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直方图的均衡化算法实现,采用visual c++编写-Histogram equalization algorithm using visual c++ Prepared
Date : 2026-01-21 Size : 62kb User : 宋生

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 imperfect, histogram matching is one of the methods of conventional auxiliary to dental periapical X-ray film image as an example, the analysis of image features, using Gauss function to construct the multi-peak curve, to generate matching of histogram is a practical method to enhance
Date : 2026-01-21 Size : 88kb User : tomatoprincess

anhe histogram equalization
Date : 2026-01-21 Size : 2kb User : bambi

A journal paper that relate into image enhancement developed from histogram equalization
Date : 2026-01-21 Size : 1.63mb User : waza

CLAHE: contrast limited adaptive histogram equalization is one of the most famous algorithm in image enhancement
Date : 2026-01-21 Size : 2.21mb User : Alisaberi

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 processing algorithms. Intraoral digital dental radiograph images are often noisy, blur edges and low in contrast. A combination of sharpening and enhancement method are used to overcome these problems. Three types of proposed compound algorithms used are Sharp Adaptive Histogram Equalization (SAHE), Sharp Median Adaptive Histogram Equalization (SMAHE) and Sharp Contrast adaptive histogram
Date : 2026-01-21 Size : 513kb User : Rania

This pdf isvery good for neural network(histogram equalization)
Date : 2026-01-21 Size : 137kb User : hamed

A Novel Approach for Contrast Enhancement of Gray Scale Images Using Histogram Equalization Technique
Date : 2026-01-21 Size : 445kb User : Magudeeswaran V

A Novel Approach for Contrast Enhancement Based on Histogram Equalization
Date : 2026-01-21 Size : 809kb User : Magudeeswaran V

利用matlab实现图像处理里的实现图像边缘检测、图像分割、特征提取以及图像数字识别等任务。 对图像分别进行模糊、锐化、和直方图均衡化处理,画出处理结果。实现整幅图像的边缘检测,可以看出有肖像画或素描的效果,画出处理结果。-Matlab realize image edge detection in image processing, image segmentation, feature extraction and image numeral recognition task. Fuzzy image sharpness, and histogram equalization paint treatment results. The whole image edge detection, portrait or sketch effect can be seen the paint treatment results.
Date : 2026-01-21 Size : 2.08mb User : Haibin Zhang

几个关于数字图像处理入门的程序,包括直方图均衡、中值滤波、低通及高通滤波、图像恢复等。-Several procedures on the entry of digital image processing, including histogram equalization, median filter, low-pass and high-pass filtering, image restoration.
Date : 2026-01-21 Size : 943kb User : 刘海波

contrasting using histogram equalization
Date : 2026-01-21 Size : 1kb User : ozansanli

直方图均衡化的matlab程序,实现了灰度图像的图像增强,在图像预处理方面应用广泛。-Histogram equalization matlab program to achieve a grayscale image, image enhancement, image preprocessing.
Date : 2026-01-21 Size : 193kb User : lishuohao

Implement the histogram equalization technique
Date : 2026-01-21 Size : 200kb User : afafaf

直方图均衡:增强图像的对比度,使暗的部分变亮,亮的的部分变暗,对光照强时具有较强的鲁棒性-Histogram equalization: to enhance image contrast, the dark parts brighter and dark parts brighter on light intensity, have a robust
Date : 2026-01-21 Size : 2kb User : 陈祖胜

histogram equalisation code in matlab
Date : 2026-01-21 Size : 48kb User : Pravat

In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.-In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.
Date : 2026-01-21 Size : 295kb User : Raksha

Image Inversion and Bi Level Histogram Equalization for Contrast Enhancement-Image Inversion and Bi Level Histogram Equalization for Contrast Enhancement
Date : 2026-01-21 Size : 318kb User : Nitromira

Image Inversion and Bi Level Histogram Equalization for Contrast Enhancement
Date : 2026-01-21 Size : 318kb User : Nitromira

实现RGB图像及灰度图像直方图绘制,灰度直方图均衡化实现-Achieve RGB image and grayscale image histogram drawing, histogram equalization to achieve
Date : 2026-01-21 Size : 3.57mb User :
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