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。
The extraction of ocean fronts is to extract the edge information between ocean water mass, which belongs to the high frequency extraction from ocean fields.
海洋锋信息的提取是提取海洋水体问的边缘信息，是属于海洋要素场高频信息的提取。
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。
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。
The feasibilities of using wavelet transform to extract the edges of the echoes and then classify the targets based on the edge features have been studied in this paper.
本文研究了利用小波变换提取水下目标瞬态回波的边缘特征并进行目标分类的可行性。
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。
Experimental results show that the algorithm can extract the correct and continuous edge, and detection results of the target are stable.
实验结果表明该算法能有效提取正确连续的边缘，且目标检测结果稳定。
The modified edge detection operators can not only overcome the fuzzy of edge to some extent and extract more details of edge, but also effectively eliminate the impact of noise.
修正后的边缘检测算子在一定程度上克服了边缘的模糊性，提取出更多的细节边缘，又能有效地消除噪声的影响。
Although there are many mature algorithms in edge detection, few approaches can extract straight lines from edge images.
边缘检测已经有许多成熟的算法，但是从边缘图像中提取直线的算法还不多见。
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。
Experiments demonstrated that the proposed method can overcome the interference of the complex background, and extract the target edge efficiently.
实验表明，该算法能够克服复杂背景的干扰，有效地提取目标边缘。
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。
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。
The system can help users quickly extract business process the raw data, and converting it into valuable information, so as to enhance their competitive edge.
本系统能帮助使用者快速提取企业经营过程中的原始数据，并将其转换成有价值的信息，从而提升企业的竞争优势。
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.
为了提取局部感兴趣区域，给出了一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再结合迭代阈值算法进行病灶边界的磨合。
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；
Detect iris edge to extract points on the boundaries by pixel gradient.
接着利用梯度和搜索虹膜外边界的边界点。
Firstly, dyadic wavelet was used to extract the edge, and then buildings were recognized by computing the affine invariants, In addition, a building recognition pattern database was constructed.
首先，利用二进小波变换检测建筑物边缘，然后通过计算基于小渡的仿射不变量识别建筑物，最后构建了建筑物轮廓模式数据库。
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。
Making use of the texture characteristics and the color information of plate images, this paper gives out a new method, which is based on the color-edge in the space of YUV, to extract license plate.
在YUV颜色空间内，根据车牌图像的纹理特征，充分利用车牌图像的三个分量彩色信息，提出了一种基于彩色边缘的车牌定位方法。
The improved method is designed to extract the color of playing surface on the table automatically, and we filter the noise edge pixels by smoothing and iterated curve fitting.
改进算法增加了背景主颜色的自动提取，并通过平滑和循环曲线拟合的方法剔除噪音点，保留真正的边缘点。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
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