The phenomenon of multiple responses to a single edge often occurs when detecting noisy ramp edges from images.
在检测斜坡状边缘时，由于噪声的影响，经常出现单边缘多重响应现象。
Classical interpolation method based on ramp edge model considers all the edges as strong edges, which results in weak edges' distortion.
基于斜坡边缘模型的经典插值方法把所有边缘归为强边缘，导致弱边缘过分增强而失真。
A new algorithm of ramp width reduction based on the gray information of neighborhood pixels is proposed in order to sharpen the ramp edge effectively.
利用中心像素邻域灰度信息，提出一种新的图像边缘宽度细化算法，使斜坡边缘的细化效果有明显提高。
Through summarizing and analyzing various methods' characters and shortages, this paper proposes an image interpolation method based on ramp edge model.
通过总结和分析各算法的特点和不足，我们提出了基于斜坡边缘模型的图像插值方法。
The new histogram is very general and practical, which can be used for the threshold selection when the object is big or small and the edge model is ramp like or roof as well.
该直方图能同时用于大目标和小目标时以及边界是阶跃边缘和屋顶状边缘时的阈值选取，具有很大的通用性和实用性。
The new histogram is very general and practical, which can be used for the threshold selection when the object is big or small and the edge model is ramp like or roof as well.
该直方图能同时用于大目标和小目标时以及边界是阶跃边缘和屋顶状边缘时的阈值选取，具有很大的通用性和实用性。
应用推荐