提取苹果目标，使用不同算法灰度化图像。
The color images of apple were extracted and greyed using different algorithms.
在图像灰度化的阶段是采用了加权平均值的方法。
The weight-average method was applied to make the original image to the grayscale image.
对灰度化算法进行了改进，目的是较容易的提取兴趣点和目标。
The graying arithmetic is improved in order to pick up interest point and target easily .
在提取纹理特征时，为了减少计算量，首先对原图像进行压缩和灰度化。
In extracting texture characteristic, to cut down the amount of calculation, we compress the image and convert it to gray image.
图像灰度化即是将真彩色的车辆图像转变成灰度图像，目的是减少其电脑存储空间和提高运算效率。
Grey scale processing is to convert the colorful image to grey scale one, in order to reduce storage space and raise operation efficiency.
给出了一种基于图像各彩色分量灰度统计特征期望值和全局标准差作为阈值的彩色图像灰度化方法。
An approach for color image gray processing based on threshold of gray scale statistic mean value and global standard deviation of each color component is presented.
本文首先对手写数字图像的图像灰度化、二值化、去噪、细化、归一化、特征提取等预处理过程进行分析；
This paper analyse the image enhancement, the binarization, the noise abatement, the thinning, the normalization and the feature extraction on the handwritten digit recognition.
首先对彩色图片进行灰度化，再采用直方图均衡化的方法来进行图片的预处理，以获得比较好的图像拼接效果。
First carries on the gradation to the colored picture, again USES the histogram equalizing the method to carry on the picture the pretreatment, obtains the quite good image splicing effect.
对视频采集到的板材纹理图像进行灰度化、中值滤波去噪、二值化、腐蚀、膨胀等处理，得到仅包含目标纹理的图像后检测纹理边缘。
Treat with plate grain image got by video using methods of gray level transformation, median filter, erosion, expansion and so on, gain the image which only includes grain, then detect brim of grain.
实验结果表明该算法克服了光照不均和噪声对灰度文本图像二值化的影响，得到了较理想的二值图像。
The experiment results show that with the algorithm, the influence of uneven light and noise on the binarization of gray character images has been overcome and an excellent binary image is obtained.
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。
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.
初始化并使用指定灰度和透明值的颜色对象。
Initializes and returns a color object using the specified opacity and grayscale values.
本文提出了一种新的理论-灰度谱分级平坦化来克服人类视觉对比度分辨率限制。
A new theory of gradually flattening gray spectrum was presented to overcome the contrast resolution limitation of human vision.
提出并实现了三种用于增强传统的灰度扫描电镜图象的彩色化显示技术。
Three colorated displaying techniques for intensifying traditional black-white image of SEM (scanning electron microscope) were introduced and realized.
同otsu算法和灰度平均值算法比较，该图像二值化方法在具有小区域缺陷特征图像处理方面有一定的优势。
Compared with the Mean Gray Level and OTSU algorithm, the binary conversion method has advantages of processing small-area defect images.
再根据灰度值最小的原则作为图像融合方法，得到最终的二值化图像。
Finally took the fusion method according to the minimum principle of gray values to get the fused image.
通过局部图像增强的自动阈值选择等手段，解决视网膜血管图像与局部背景之间因灰度混同所造成的二值化困难；
It solves the difficulty in binarization due to gray level confusion between local background and image by automatic thresholding with local image enhancement.
在图像特征提取上改进并提出了三种特征的提取：纹理特征，灰度直方图均值化特征，图像的主成分特征。
The features concerned are such as texture feature, gray histogram feature and features derive form the principle component analysis.
提出一种灰度文本图像自适应二值化滤波算法。
An adaptive binarization filter Algorithm is presented, which combines adaptive filtering with local threshold binarization method.
传统的阈值化算法仅仅使用像素点的灰度级信息，因而要求图像中的目标和背景在灰度级上是可分的。
Therefore, when applying a thresholding algorithm to an image, we generally assume that the background and target in that image occupy different gray level zone.
本文给出了一种利用图像灰度统计特征值为阈值的全局二值化方法。
This paper introduces a new whole binarization method by using image gray statistical characteristic value as threshold.
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.
图像的灰度值可以看作是一区域化变量，不仅具有随机性，而且具有空间结构性。
The grey value of image can be treated as regionalized variable, which has the property of both random and spatial structure distribution.
通过模拟水流冲刷图像表面的过程，本文提出了一种直接针对灰度图像的高效的骨架化算法。
A fast skeletonization algorithm directly for gray-scale patterns is presented in this paper by simulating the procedure of water scouring the image surfaces.
它包括二维匹配滤波预处理以增强血管的灰度，以及用灰度-梯度共生矩阵的最大熵阈值化方法。
Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
本文提出了一组CNN新模板，用于恢复数字化灰度图像中扭曲凸物体像的凸性。
This paper presents a set of new CNN templates for recovering convexity of disturbed convex objects in digitized gray scale images.
该方法由地震图扫描输入、灰度规一化、水平线消除、时标和起震点提取及智能跟踪与细化等步骤组成。
It includes seismogram input by scanner, grey normalization, horizontal line removal, extractions of time marks and start time of earthquake, and intelligent tracking and thinning.
指纹图像的预处理又可以分为灰度图滤波去噪、二值化、二值化图像去噪、细化和细化后去噪五个部分。
Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image.
通过对制导图的灰度最小化预处理，提高了匹配算法的抗灰度畸变能力。
Through grayscale minimization preprocessing on images for guidance, the anti grayscale ability of matching algorithm is improved.
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