An algorithm using threshold selection and edge detection to extract target features from infrared image was proposed.
提出了一种阈值选取与边缘检测相结合提取红外图像特征的方法。
To extract the photo edge and characteristic of texture from the satellite remote sensing image is important to distinguish the image type.
在卫星遥感图像的分析中，提取图像的边缘和纹理特征，对于识别图像的类型，从而完成对目标物体的分析十分重要。
How to extract the edge character of target that is needed is a difficult and hot spot in the image processing.
如何从图像中提取人们需要的目标边缘特征，一直是图像处理中的一个难点和热点。
Edge is an important attribute for image analysis and recognition, but it is difficult to effectively extract edge from noisy image in the domain.
景物边缘信息是进行图象分析和识别的重要属性，如何有效地从噪声图象中提取边缘是这些领域中的难点。
The algorithm to perceive the image and get the parameters of screw in screw sampler based on CCD camera is presented. How to extract the edge of screw image is discussed with emphasis.
主要介绍在基于CCD摄像头的螺纹检验系统中，如何理解图像并提取螺纹参数的算法。着重讨论了螺纹图像边缘的提取算法。
How to extract the edge effectively in noise image is a difficult problem in the field of image analysis. The traditional methods used to extract edge are often very sensitive to noise.
在噪声图像中如何有效的提取边界是图像分析中的难点，常用的边界提取方法往往对噪声很敏感。
Then we use the technology of image analysis and image division based on the edge to extract the main object and to recognize (classify) the visual characteristic.
然后利用图像分析技术，采用基于边缘的图像分割方法，提取图像的主体区域并进行视觉特征提取与（分类）识别。
Second, extract the edge of the object image and boundary tracking to get the 2D line drawing and extract the topology information and geometry information of them.
其次对物体真实图像作轮廓提取和边界跟踪，得到二维图像的线架图，同时提取出它的拓扑结构信息和几何信息；
Uulike general image system, based on artificial receptive field, this image system can extract edge information simultaneously when the image was being input. It was close to animal visual system.
与一般的基于视觉原理的图像系统相比，这种以人工感受野为基础的系统，在图像输入的同时即可并行地提取图像边缘信息，而更接近于动物视觉系统原型。
Uulike general image system, based on artificial receptive field, this image system can extract edge information simultaneously when the image was being input. It was close to animal visual system.
与一般的基于视觉原理的图像系统相比，这种以人工感受野为基础的系统，在图像输入的同时即可并行地提取图像边缘信息，而更接近于动物视觉系统原型。
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