The paper defines the edge pixel in image, and brings forward a edge detection algorithm based on differential extremum.
本文通过对边缘点的定义，提出了一种微分极值的边缘检测算法。
If you did use the brush tool at a whopping 9 pixels instead of 1, you'll get anti-aliasing occurring and that will spoil the hard-edge pixel effect.
如果您没有使用高达9而不是1像素的画笔工具，你会得到消除锯齿出现，这将破坏硬边像素的效果。
A new thinning and recognition approach is proposed in this paper. Our approach which USES the principle of neural network classified the edge pixel.
提出了一个新的曲线性识别算法，它利用神经网络的分类辨识特性，对边缘点进行分类识别。
The visibility of the paths was determined by pixel similarity, neighboring difference and the direction of the edges synthetically, which made the ants move along the real edge pixels.
综合考虑了像素间相似性、邻域差和边缘走向三个因素来确定启发式引导函数，使蚂蚁沿着真正的边缘行走。
This would allow me to create certain other effects, such as blurring or edge detection, where the filtered color of the pixel depends on the colors of its neighbors.
这允许我创建某些效果，比如模糊效果或检测边缘，其中过滤的像素颜色取决于它的邻居的颜色。
Much like the small text on the MSNBC buttons mentioned above, the 5-pixel-tall text needs to have as sharp an edge as possible to be legible.
同上面说的MSNBC按钮一个道理，5像素高的文字需要有尽量锐利的边缘来保持可读性。
Obviously, the 0 should be at the left edge of the ruler, but if we place the two - and three-digit Numbers at the 72-pixel points, they will appear unbalanced.
显然，数字0应该在标尺的左边缘位置，但是如果我们将那些两位数和三位数的数字放置在那些72像素点，它们看起来会不平衡。
A nice little touch is a single pixel highlight at the bottom outside corner of each page, it just gives a hint of a page edge instead of being a solid block.
阿不错的接触，是一个外面的每一页的底部角落像素的亮点，它只是给出了一个而不是一整块页面边缘的暗示。
Is a number, the pixel location of the left edge of the window.
是一个数字，指示了窗口的左侧的位置。
Is a number, the pixel location of the right edge of the window.
是一个数字，指示了窗口的右侧的位置。
Is a number, the pixel location of the bottom edge of the window.
是一个数字，指示了窗口的下沿的位置。
Is a number, the pixel location of the top edge of the window.
是一个数字，指示了窗口的上沿的位置。
The modifications can be done with a combination of the Edge Enhance effect and pixel-level editing of the state borders.
可以结合EdgeEnhance效果和州界的像素级别的编辑来完成修改。
After getting pixel stripes with edge detection algorithm, the high precision strips could be detected by sub-pixel technology.
利用边缘提取算法获得像素级条纹后，再利用亚像素技术可以进一步对条纹进行高精度提取。
By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image.
综合运用阈值分割、边缘识别和像素标记法等图像识别技术，通过图像得到每个模型的相关定位信息。
The location precision is improved to 1/3 pixel by performing sub - pixel edge detection in fiducial satellite photo image.
采取对基准图卫片中特征进行亚像元精度特征定位的方法，可以将匹配精度提高到1／3个像素以内。
Through thinning arithmetic, clear and precision location single pixel edge is achieved.
经细化算法后，得到了图像清晰、位置精确的单像素边缘图像。
Through edge detection and pixel subdivision technique, the accuracy of measurement has been raised.
在对图像边缘检测上应用了亚像素插分，提高了精度。
Image edge is detected by the third central moment of its immediate pixel neighborhood.
利用像素邻域的三阶中心矩，可以提取图像边界。
This thesis proposes an algorithmic adaptive image enhancement method based on pixel classification, but this method only can change edge slope and can not change edge contrast.
本文在图像自适应增强方面，提出了基于像素分类的算法自适应图像增强方法。但是这种方法只能改变边缘的斜率而不能改变边缘两侧的对比度。
From the characteristic of SAR image classifications based on pixel level and region level, this paper provides a fusion method for SAR image classifications based on edge-detection.
从基于象素的SAR图象分类和基于邻域的SAR图象分类特点出发，提出了一种基于边缘检测的SAR图象分类融合方法。
The traditional image edge detectors can only get multiple-pixel-wide edges usually, thus it is difficult to operate by post-processing methods.
传统的图像边缘检测算子一般都只能得到多像素宽边缘，这为后续的图像处理带来了一定困难。
A novel fast sub-pixel edge detection method for image measurement is proposed.
提出了一种新型的测量图像快速亚像素边缘检测方法。
In industrial vision inspection, many edges of inspecting objects are. some kinds of roof edges, but current sub-pixel edge detection methods are only applied to step edges.
在视觉检测中，许多待检目标边缘都是屋脊型边缘，而现有亚像素边缘检测方法往往只研究阶跃边缘的检测，对屋脊边缘的研究较少。
Using improved sub-pixel edge detecting algorithm based on the expectation of first-order derivatives, we can fast and precisely detect the edge position.
应用改进后的基于一阶微分期望值的亚像素边缘检测算法，可以快速、精确地检测到边缘的位置。
And the method of the polynomial interpolation for sub-pixel edge measure was also studied elementarily.
同时对多项式插值亚像素边缘检测方法进行了初步的研究。
In the method, the automatic identification of feature area is fulfilled based on the edge attribute, and the sub-pixel center location is accomplished with the least-square approach.
方法中采用基于类椭圆边缘属性对特征区域进行自动识别，采用最小二乘椭圆拟合精确求取类椭圆亚像素定位中心。
Sub pixel matching is carried out by superposing edge feature on image.
同时，采用特征与影像叠加进行了亚像素匹配。
Therefore, the sub-pixel algorithm in edge precise positioning was widely researched.
因此，用于边缘精确定位的亚像素算法已被广泛研究。
Therefore, the sub-pixel algorithm in edge precise positioning was widely researched.
因此，用于边缘精确定位的亚像素算法已被广泛研究。
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