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1)  adaptive histogram equalization
自适应邻域灰度增强
1.
In the same time, the adaptive histogram equalization is used to enhance the details in the image.
同时对图像进行自适应邻域灰度增强,达到了对图像细节进行增强的目的,提高了图像的质量。
2)  Adaptive gray enhancement
自适应灰度增强
3)  adaptive neighborhood
自适应邻域
1.
Improved PSO algorithm with adaptive neighborhood;
一种改进的自适应邻域粒子群优化算法
2.
The enhancement on the detail of local issue and endocardium boundary were obtained by using full frame histogram equalization (FFHE), local area histogram equalization (LAHE) and adaptive neighborhood histogram equalization (ANHE).
对超声心脏图象采用了全局直方图均衡 (FFHE)、局域直方图均衡 (LAHE)、自适应邻域直方图均衡 (ANHE)等直方图均衡的图象增强方法 ,获得了超声心脏图象的局部组织细节和左心室内膜边缘的增强结果。
3.
An additive noise removing algorithm using reciprocal weight and adaptive neighborhood statistics is proposed.
对于叠加了白噪声的图像,提出一种倒数加权的窗口自适应邻域图像滤波算法。
4)  adaptive-neighborhood
自适应邻域
1.
This paper apply the concept of adaptive-neighborhood statistics to video post-filtering and propose a novel algorithm.
该算法将自适应邻域的思想引入到视频信号的后处理中,能够同时高效地抑制采用基于块的变换编码和基于块的运动补偿技术的视频压缩算法产生的振铃噪声和块效应,并能出色地保存图像的边缘。
5)  adaptive enhancement
自适应增强
1.
A method of implementing adaptive enhancement of variance on an image by a recursive low-pass filter is introduced mainly in this paper.
介绍了用递归低通滤波器方法来实现图象的方差自适应增强。
2.
Considering the characteristics of the inconspicuous difference between targets and backgrounds and the low contrast in infrared images,an adaptive enhancement algorithm based on fuzzy particle swarm optimization is used in the infrared image processing.
针对红外图像目标与背景区分不明显、对比度低的特点,把粒子群优化算法应用到红外图像增强中,提出了红外图像自适应增强的模糊粒子群优化算法。
3.
An edge detection algorithm based on adaptive enhancement is presented in this paper on the basis of the analysis of traditional edge detection algorithm.
在对传统边缘检测算法分析的基础上,文章提出了基于图像的自适应增强的边缘检测算法,首先分别对图像的目标和背景物体进行灰度增强,然后对增强后的图像进行边缘提取,并对提取后的边缘图像进行融合。
6)  adaptive contrast enhancement
自适应对比度增强
1.
The constitution,operating principle,hardware and software of adaptive contrast enhancement system based on image processing method is presented.
介绍了基于图像处理方法的自适应对比度增强系统的组成、工作原理、硬件电路设计与软件设计。
补充资料:自适应自整定调节
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性质:在调节系统中,对象的动态特性往往是变化的,如果变化不大或调节的质量要求不高时,可以采用固定规律的调节器,假若变化大,质量要求又高时,需要选择可变规律调节器。调节器参数的改变是直接按照对象特性的变化进行的,叫作自适应调节。对象的识别和调节器的规律的计算都用一个计算装置进行,就叫自适应自整定调节,或简称自整定调节。 

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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