红外图像对比度增强的研究基于灰度变换。
Common infrared image gray transform algorithms are studies in order to enhance infrared image contrast.
本文阐述了一种实用的交互式图象灰度变换方法。
An utility method of interactive image grey level transformation is introduced in this paper.
目的探讨X线图像正弦灰度变换技术临床应用价值。
Objective To improve the clinical application of sine grey level transformation of X-ray medical images.
提出了应用灰度变换差分替代方式进行图像隐藏的方法。
We present a new method, which combines the method of gray transform and gray difference replacement to hide secret image.
这样，可将图像的合成看作两幅图像互补的灰度变换的叠加。
Thus, we propose that the blend of a full-color image can be viewed as superposition of two complementary gray - level transformation images.
测得的值与梯尺的尺度值比力，调动RIP洋的灰度变换弧线。
The value of the measured and wedges comparison of standard values, adjust the gray-scale transform in the RIP.
本系统主要特征是分段线性灰度变换、斜度调整、射归一、征提取。
The main features of the system are piecewise linear gray level transformation, slope angle adjustment, mapping and normalization, feature distilling.
首先，根据移动机器人的实时性要求提出了基于移位运算的灰度变换方法。
Firstly, considering the requirement for time crisis, a gray-level transformation method based on shifting operation is put forward.
细胞图像增强主要采用灰度变换、直方图修正、图像平滑、图像锐化等方法。
The method of enhancing the cell image includes gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
细胞图象增强主要采用灰度变换、直方图修正、图象平滑、图象锐化等方法。
The method of enhancing the cell image include gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。
Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
超图像观察窗是图像增强处理的一种方式，即灰度变换，它能改变图像的视觉印象。
It is a transformation of the gray level and can change visual perception impression of the image.
传统的图像增强方法有灰度变换、直方图修正、直方图均衡、图像平滑和维纳滤波。
The traditional image enhancement approaches include gray-scale transformation, histogram modification, histogram equalization, image smoothing and Wiener filtration.
传统的图像增强处理是针对图像灰度分布的不同情况，来定义相应的灰度变换函数。
Traditional image enhancement is to define corresponding gray transform function according to gray distribution of the image.
本文研究了基于灰度变换的自适应实时图像帧积分技术及其在微光电视系统中的应用。
A novel real time adaptive image accumulating technique for low light level (LLL) image enhancement is advanced in this paper.
针对红外图像，采用双门限分割法进行图像分割，然后采用分段灰度变换法进行图像增强。
An infrared image processing solution is proposed. It USES bi-threshold method to segment image and enhance the image with segmentation gray scale transform method.
图像预处理：采用灰度变换、同态滤波和平滑等方法对图像进行处理，提高了图像的质量。
Image preprocessing: the image is processed by several algorithms including gray level stretch, homomorphic processing and image smoothing, and then the quality of image gets better.
在提出基于灰度变换图像隐藏算法的基础上，分析并比较了几种常用的图像隐藏方法及特点。
Several ways of picture hiding and their characteristics were analyzed and contrasted on the basis of picture hiding of gradation transformation.
实验结果表明，该系统能很好地实现红外图形灰度变换，并在一定程度上抑制了背景，提升了目标。
The experiment results show that the system can realize infrared image gray level transformation, suppress background and upgrade target in a certain extent.
因此，可以在维持图像整体的亮度的同时进行图像的暗部灰度的校正，并且可实现最佳的灰度变换。
Therefore, it is possible to correct the dark area gradation of an image while maintaining brightness of the whole image, and to realize preferable gradation conversion.
该算法利用线性同余模型产生伪随机序列以对图像进行空间置乱，采用异或操作实现图像的灰度变换。
It achieves space chaos of an image with a pseudo-random sequence generated by linear congruential method, and achieves gray chaos by XOR operation.
论文深入研究了图像灰度处理、图像灰度变换、图像平滑、图像锐化、图像二值化等图像预处理方法。
The thesis discusses the image pretreatment methods of image grayness, grayness transform, image smoothness, image sharpness and image binarization;
该算法利用线性同余模型产生伪随机序列以对图像进行空间置乱，采用异或操作实现图像的灰度变换。
In this article we introduced the idea of linear congruence, and the methods to generate pseudorandom integer and real sequences.
本文分别对彩画小样进行了增大对比度，小区域背景修复、灰度变换和噪声去除四大方面的预处理工作。
In this paper, we do the pretreatments in the following four major aspects: increasing contrast, repairing background of small areas, grey level transformation and denoise.
此文主要研究用于增强图像的灰度变换方法，包括线性灰度变换、非线性灰度变换与直方图均衡化方法。
This paper mainly tells us the ways of image gray transformation, including linear gray transformation, nonlinear gray transformation and the approach of histogram equalization.
介绍了超声医学图像灰度校正常用方法的基本原理，这些方法主要有灰度级校正、灰度变换及直方图修正。
The general theories of gray correction methods for the medical ultrasonic image are introduced in this paper, including gray level correction, gray level transformation and histogram correction.
按照每一部分的特点，设计不同的灰度变换，对图像进行分段线性增强，得到感兴趣目标区的最佳视觉效果。
Based on the characteristic of each part, different gray scale transforms are designed to carry out image linear enhancement to get the best visual effect for the interested area.
鉴于以上情况，本文选用了选择式掩模滤波对噪声进行去除，用线性灰度变换方法解决了灰度不均匀的问题。
In view of the above, this paper USES selective masking smoothing to remove noise and linear gray transform method to solve the problem of gray uneven.
利用自开发软件，对图像进行灰度变换和直方图均衡化处理后，采用频域同态滤波的方法对图像进行降噪滤波处理。
After the gray transformation and the histogram equalization, these images were filtered by a frequency-domain homomorphic filter, hence noises in the images were greatly reduced.
利用自开发软件，对图像进行灰度变换和直方图均衡化处理后，采用频域同态滤波的方法对图像进行降噪滤波处理。
After the gray transformation and the histogram equalization, these images were filtered by a frequency-domain homomorphic filter, hence noises in the images were greatly reduced.
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