自适应直方图均衡化
计算机科学
熵(时间箭头)
对比度增强
人工智能
对比度(视觉)
噪音(视频)
医学影像学
领域(数学分析)
机器学习
直方图
数据科学
图像(数学)
数学
磁共振成像
直方图均衡化
医学
数学分析
物理
量子力学
放射科
作者
Richa Sharma,Amit Kamra
标识
DOI:10.1109/ic3i59117.2023.10397722
摘要
Machine intelligence concepts have revolutionized the way to solve/address the multifaceted problems in many domains such as network security, 3-D modelling, etc. One domain which profoundly benefits from these algorithms is Medical Science. To solve the noise and contrast issues in medical images, we have reviewed different implementation and variants on CLAHE based enhancement techniques. Implementation of CLAHE based techniques in medical images is reviewed extensively in this paper along with its usage in other fields is also highlighted. Different algorithms are measured on performance parameters like Entropy, SNR, PSNR etc.
科研通智能强力驱动
Strongly Powered by AbleSci AI