并利用这两种算法对镀层材料腐蚀特征信息进行识别，计算镀层材料的图像腐蚀特征参数。
These arithmetics are applied to recognise information of erode features in coating material and compute erode feature parameter of coating material.
并利用这两种算法对镀层材料腐蚀特征信息进行识别，计算镀层材料的图像腐蚀特征参数。
These arithmetics are applied to recognise information of erode features in coati ng material and compute erode feature parameter of coati ng material.
该方法首先将图像量化为不同的颜色层，并利用形态学的腐蚀算法对图像的各个量化颜色层进行单独处理。
It quantizes colors of each image to several different color levels, then morphic erode algorithm be separately used to all the quantized color level.
在腐蚀工程中，腐蚀图像与腐蚀数据是判断各种腐蚀类型、评价腐蚀程度、研究腐蚀规律与特征的重要依据。
Corrosion images and corrosion data are very important and fundamental to diagnose corrosion type, evaluate corrosion degree and study corrosion mechanism in corrosion engineering.
材料腐蚀监测是利用视频技术、计算机图像处理技术、模式识别技术等对材料外观腐蚀图像进行检测、处理及管理。
Material decay monitoring, using techniques of video, computer image processing and pattern identification, detects, processes and manages the external material decay image.
图像中有蒸汽的感觉和腐蚀的金属，所以我降低了颜色的饱和度（把颜色提亮。）
The picture has a feel of steam and rusted metal so I de-saturate (lighten the brightness of color) I am using.
在图像处理中的粘连颗粒分割方法研究中，获得各个颗粒中心核是分割的基础和关键，极限腐蚀是现有提取中心核的主要方法。
In the research of overlapped granular segmentation in image processing, obtains each granular kernel is foundational for segmentation, ultimate erosion is the main kernel-obtained method.
本文通过机械加工模拟腐蚀件的实验，对红外热图像处理中的四种典型算法进行了研究。
Four typical algorithms used in infrared image processing are studied in the simulation experiment of machined corrosion parts.
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.
应用原子力显微镜（AFM）研究硫酸盐还原菌（SRB）、微生物膜、腐蚀产物膜和A3钢腐蚀后的表面形貌，获得了高分辨率、清晰的图像。
The morphology of sulfate-reducing bacteria(SRB), microbial biofilms, corrosion product film and corroded A3 steel have been observed by atomic force microscopy(AFM).
提出了典型镀层腐蚀试样的制备及利用灰度直方图来检索腐蚀图像的一般框架。
The preparation of typical coating corrosion samples and common frame of grey histogram-based image retrieval are presented.
提出一种用迭代算法求图像分割最佳阈值和运用数学形态学的腐蚀算法实现轮廓提取相结合的细胞图像边缘精确检测算法，并给出仿真实例。
A new accurate edge detection method obtaining the best threshold of image segmentation based on iterative arithmetic and abstracting edge by eroded arithmetic of mat.
分形图像的原始图像一般为灰度图像，针对灰度图像的特点，采用像素点覆盖法，研究了应力腐蚀断口形貌的分形特征。
The pixel-covering method is used to research the fractal character of stress corrosion fracture so as to fit the property of gray images.
提出了一种激光诱导液相腐蚀新方法——利用腐蚀电流特性和腐蚀图像均匀度相结合的方法，选择出适合的腐蚀溶液。
A new method of laser assisted wet etching is proposed, which depends on the etching current characteristic and uniformity of etching image to select the suitable etchant.
材料腐蚀监测是利用视频技术、计算机图像处理技术、模式识别技术等对材料外观腐蚀图像进行检测、处理及管理。
Monitoring the material decay make use of the technique of video, computer image processing and pattern identify to detect, process and manage the external material decay image.
材料腐蚀原值监测是利用视频技术、计算机图像处理技术、模式识别技术对材料外观腐蚀图像进行检测、处理及管理。
Monitoring the material decay make use of the technique of video, computer image processing and pattern identify to detect, process and manage the external material decay image.
材料腐蚀原值监测是利用视频技术、计算机图像处理技术、模式识别技术对材料外观腐蚀图像进行检测、处理及管理。
Material decay monitoring, using techniques of video, computer image processing and pattern identification, detects, processes and manages the external material decay image.
采用基于数学形态学腐蚀运算来获得人脸图像的灰度距阵，然后用K-L变换来提取人脸图像的灰度特征，从而形成形态特征眼和形态特征脸。
Using mathematical morphology to get grey scale matrix of facial imagines, in addition extracting their grey characteristics through K-L transformation, these unique eyes and faces are be formed.
采用基于数学形态学腐蚀运算来获得人脸图像的灰度距阵，然后用K-L变换来提取人脸图像的灰度特征，从而形成形态特征眼和形态特征脸。
Using mathematical morphology to get grey scale matrix of facial imagines, in addition extracting their grey characteristics through K-L transformation, these unique eyes and faces are be formed.
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