《A new adaptive contrast enhancement algorithm for infrared images based on double plateaus histogram equalization》提出自适应双平台直方图均衡算法,一种基于双平台直方图均衡的红外图像自适应对比度增强算法。 传统的双层斜展直方图均衡化算法使用恒定阈值,不能在不同的
This study aims to evaluate the effects of histogram equalization (HE) and contrast limited adaptive histogram equalization (CLAHE) on periapical images and fractal dimensions in the periapical region.In this cross-sectional study, digital periapical images were selected from the archive of Dentistry ...
一、背景 首先将整个成像视野划分为几个区域,然后通过独立判断识别目标在视野中的位置。最后根据预设的区域权重进行灰度统计的自动曝光控制 二、算法思想 整个图像的平均亮度值来控制主要物体的曝光。这是因为物体的亮度与背景的亮度不同,平均亮度主要由背景决定。 因此需要根据背光程度来分析主要目标的亮度,由于背景区域...
Adaptive Thresholding in OpenCV - Learn how to implement adaptive thresholding using OpenCV for better image processing results. Explore techniques and examples.
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为了增强视频,所提出的图像增强方法使用关于每帧之间差异的时间信息来减少计算复杂性。该算法本质上是一种自适应的gamma校正算法,其中,“自适应”是利用图像直方图信息来实现的,本文提出了一种混合HM方法,将cdf、加权分布和伽玛校正相结合的算法 算法步骤:
The deep learning framework employed was PyTorch 2.1.0, along with Python 3.9, PyCharm 2023, and CUDA version 11.8. The network was trained for 300 epochs on the UIEBD datasets, with a batch size of 1. The Adam optimizer was utilized, with an initial learning rate of 0.0002 and an ...
Common approaches include enhanced algorithms using histogram equalization. Ghani et al. [2] introduced an adaptive histogram enhancement method using Rayleigh stretch for contrast improvement, enhancing contrast, refining details, and reducing issues like over-enhancement, oversaturation, and noise. Li et...