histogram equalization
[测][遥感][计] 直方图均衡化
2026-04-13 09:57 浏览次数 15
[测][遥感][计] 直方图均衡化
in performance, the algorithm is better than traditional histogram equalization method, unsharp mask method and enhancing method based on discrete orthogonal wavelet transform.
算法在性能上优于传统的直方图均衡法、反锐化掩膜法和基于离散正交小波变换的对比度增强方法。
fast algorithm for adaptive neighborhood gray-scale stretch histogram equalization method is proposed which can reduce operand greatly.
提出自适应邻域灰阶扩展直方图均衡法的快速算法,大大减小运算量,使其在临床上的应用成为可能。
the method of histogram equalization is attempted to used in the sonar image, and the result is analyzed.
在图像增强方面,尝试了直方图均衡化增强方法,并对其处理结果进行了分析。
this pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(local bpheme).
本文提出了基于熵最大化和亮度保持的部分重叠的局部直方图均衡方法(局部bpheme)。
then, in hsi space, the method based on adaptive histogram equalization (ahe) is introduced to adjust the saturation and intensity. and then, the contrast is regulated further.
在hsi空间中,采用自适应直方图均衡(ahe)方法实现了图像饱和度和亮度的调整,并进一步修正了图像的对比度。
the histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image.
直方图均衡可以使图像灰度分布接近均匀,提高图像对比度,但图像的信息量会有一定程度的损失。
the image enchancement based on histogram equalization and specification can improve the contrast details and the dynamic range of gray level of the image.
基于直方图均衡化和规定化处理的图像增强技术,能有效地改善图像的对比度和灰度动态范围。
aiming at this problem, histogram equalization and gray stretch are used to enhance license plate image, and make the image clearer.
针对这一情况,将直方图均衡和灰度拉伸相结合,增强牌照图像,使图像更加清晰。
satisfied results usually can not be got when processing color images degraded by fog and mist with the conventional enhancement algorithms such as histogram equalization and homomorphic filtering.
对于薄尘雾退化的彩色图像,用直方图均衡和同态滤波等常规增强算法处理往往不能得到满意的效果。
and the method with histogram equalization and median filtering method of comparison can be very clear that the present method than the above two methods better and better extraction.
并且通过与直方图均衡化法以及中值滤波法的对比可以很明确的表明,本文的方法相较于上述两种方法更优,提取的效果更好。
to better understanding the weld image, the histogram equalization method was used aiming at enlarging the difference between groove and other area.
运用直方图均衡化方法强化坡口与非坡口的差别,增加焊缝图像的理解性。
in visual quality, the algorithm is better than the traditional unshaped mask method, histogram equalization method.
算法在视觉质量上优于传统的反锐化掩膜法、直方图均衡法。
the region histogram equalization is different from traditional histogram modification technology, the idea is based on human vision character and edge effect in image vision.
区域间直方图均衡不同于传统的直方图修正技术,该思想是充分地考虑到人类的视觉特性和边缘在图像视觉中的作用而提出的。
the image enhanced by traditional histogram equalization is over-bright in the high gray area.
常规直方图均衡化增强后的图像在高灰度区有过亮的感觉。
however, this is not the desirable property in many applications where preserving the original brightness is essential, so a new algorithm of local histogram equalization is proposed.
由于图像增强的很多实际应用需要保持原始图像的亮度,为此提出一种新的局部直方图均衡算法。
as the traditional algorithms for local histogram equalization is used to enhance the contrast of an image, the output brightness is always regardless of the input image.
现有的局部直方图均衡算法用于图像的对比度增强时,输出图像的亮度与输入图像无关。
the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system.
由灰度统计直方图均衡所实现的彩色增强处理降低了虚拟照相系统对环境照度的要求。
spectral enhancement includes linear contrast stretch, non-linear contrast stretch, histogram equalization and histogram matching etc.
光谱增强包括线性反差拉伸、非线性反差拉伸、直方图均衡化和直方图匹配等方法。
a modified algorithm of histogram equalization to gray image manipulation was discussed and actualized by analyzing principia and deficiency of the traditional algorithm of gray image.
分析了传统灰度图像直方图均衡化算法的不足,讨论并实现了一种改进的直方图均衡化图像增强算法。
the principium, implementation method and simulation results of fpga -based video format conversion, median filtering and adaptive bidirectional plateau histogram equalization were given.
给出了基于fpga的视频格式转换、快速中值滤波、自适应平台直方图双向均衡化的原理、实现方法及仿真结果。
in visual quality, the algorithm is better than the traditional unshaped mask method and histogram equalization method.
算法在视觉质量上优于传统的反锐化掩膜法、直方图均衡法。