Line extraction should try to link those lines fragmented by noise, and avoid over-link in the mean time, in order to get features that reflect correctly characters of image events.
直线提取需要尽量将那些因噪声影响而断裂的直线连接起来，同时，还要尽量避免过度连接，才能形成正确反映图像事件实质的特征。
Face contour extraction is a significant precondition of facial image analysis such as facial features detection and face recognition.
人脸轮廓提取是人脸特征检测和人脸识别等人脸图像分析的重要前提。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
Shadow is one of the features in remote sensing image. It affects image matching, change detection or information extraction. But removing that is usually very hard in image processing.
阴影是遥感影像的基本特征之一，它将干扰图像匹配、图象变化检测或图像中信息的提取，而去除阴影则是遥感图像处理的难题。
Some key techniques are included, such as skin detection, face detection, object area segmentation, image features extraction, the design of classifier and the implement of filter based on browser.
本文采用的技术包括：皮肤检测、人脸检测、目标区域分割、敏感图像特征提取、分类器设计及过滤器在浏览器上的实现等。
In the fourth chapter the analysis for the visual features, the adaptive clustering and the extraction of the image area with the image similar visual brightness are analyzed.
第四章分析了图像视觉特征的邻域矩特征描述，并对邻域矩特征进行自适应聚类提取边界和图像目标的视同灰度的提取。
Accordingly, we propose an improved feature extraction scheme, adopting the tone of filtered image combined with the texture features based on the GLCM of unfiltered image to form the feature vector.
针对这种情况，提出了一种改进的特征提取方法，将基于原图像的灰度级共生矩阵提取的纹理特征与滤波后图像的灰度特征进行组合用于分类。
As an extension of mathematical morphology to color space, the proposed transformation can be efficiently used in color image processing, image encoding and shape features extraction of objects, etc.
彩色形态变换作为一种数学形态学方法在彩色空间的延拓，可有效地应用于图象处理、图象编码和目标形状特征提取等。
Image features extraction and selection are the premise of the defects classifier built-up.
缺陷图像的特征提取和选择是缺陷分类器设计的前提。
Efficient extraction of image texture features are used on the following support vector machine classifier learning and training have a very important role.
图像纹理特征的有效提取对下面所用到的支持向量机分类器来进行学习和训练有非常重要的作用。
Among the many image features, not only do the corners have the least amount of data, but also they are quite stable, which makes corner detection as an important branch of feature extraction.
在众多图像特征中，角点不仅具有最少的数据量，而且稳定性极高，这使角点检测成为特征提取的重要分支。
On the basis of image segmentation, further researches and proposes the kind of effective method for the extraction description of color, spatial position and area-size features of an image.
在图像分割的基础上，研究并提出一种图像分割区域颜色、空间位置与面积特征的抽取与表示的有效方法。
Finally, based on the work of above, proposed a method of description and extraction image color and texture features in the dual tree complex wavelet transformation domain.
最后，在上面工作的基础上，提出了基于对偶数复小波域的图像的颜色和纹理特征的描述和提取方法。
Experimental results show that this method of extraction of features from DT-CWT domain can representation image better and had a good image retrieval result.
实验证明，这种在DT - CWT域提取的联合特征的方法对图像的描述能力相比基于小波域更强，更有利于图像检索。
For the need of the matching and image synthesis the method of extraction can detect the different features of corners and edges and precision of the corner location is relatively good.
根据匹配和新视点图像生成的需求，特征检测方法需要特征定位的精度较高，能同时检测出角点、边缘等不同特征等。
Likewise, granular computing theory is trying to apply to texture features extraction and accurate segmentation of chest HRCT image.
同样，粒计算理论也在被尝试应用于HRCT图像纹理特征值提取和肺部组织分割。
As for image content representation, we first discuss the extraction of shape and color features for an image.
在图像内容的表示方面，首先对图像的形状特征和颜色特征的提取方法进行了有益的探讨。
Experiment results of lD signal segmentation and 2-D image features extraction with optical wavelet transform are reported.
着重介绍了一维的和二维的光学子波变换实验系统和实验技术。
Experiment results of lD signal segmentation and 2-D image features extraction with optical wavelet transform are reported.
着重介绍了一维的和二维的光学子波变换实验系统和实验技术。
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