Open the first image - Shaded with texture, no edge lines - in Photoshop.
打开第一张有阴影纹理，没有边线的图片。
Improving texture and preserving edge is the important target of synthetic aperture radar (SAR) image fusion.
提高纹理清晰度、保护边缘信息是合成孔径雷达(SAR)图像融合的重要目标。
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。
Edge detection is very significant in the domain of image fragmentation, texture detection, computer view and so on.
边缘提取在图像分割、纹理特征提取、形状特征提取、图像识别、计算机视觉等方面的重要性十分突出。
The paper first introduces some related techniques to the research subject, such as image file format, skin color detection, skin texture detection, edge detection and shape descriptor, etc.
本文先介绍了一些与课题相关的技术，主要有图象文件格式、肤色检测、纹理检测、轮廓检测和形状描述等技术。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
The number of pixels that will not scale with the texture at each edge of the image.
边界指的是图像的每一个边框，这个边框的像素数量是不随着图片缩放而变化的。
Moreover, variational method which can conveniently integrate image information, such as edge, region, shape, texture and motion field becomes the mainstream method of image Segmentation.
而可以综合集成图像的区域、边缘、形状、纹理、以及运动场等信息的变分方法因其良好的通用性与可扩展性成为时下图像分割领域主流的方法之一。
For the texture direction histogram, we started by performing edge detection on the image.
有关纹理方向直方图，我们开始通过图像进行边缘检测。
Compared to traditional method, this method preserves image edge and texture information, so that the noise could be preferably removed and the effect of image visual could be improved.
与传统去噪相比，该方法在去噪过程中保留了边缘纹理信息，抑制了该信息对去噪的影响，提高了图像的视觉效果。
The robustness of watermark is largely influenced by texture of image background, texture, edge and so on.
水印的鲁棒性受背景、纹理、边缘等条件影响较大。
In this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
In this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
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