1) polygon detecting
多边形检测
1.
The practical application showed that coherence slice fault polygon detecting technique is a very efficient tool for the whole 3D data inte.
实际应用表明 ,三维相干切片断层多边形检测技术 ,是全三维高精度解释的有力工具 ,提高了解释效率 ,缩短了解释周
2) multi-scale edge detection
多尺度边缘检测
1.
A image fusion algorithm with wavelet transform based on Multi-scale Edge Detection
一种基于多尺度边缘检测的小波图像融合算法
2.
On the basis of expounding the basic principle using 2-D wavelet transform for seismic attributes data,the paper built up the effective flow used for multi-scale edge detection of image.
本文在阐明二维小波变换用于地震属性数据基本原理的基础上,建立了小波变换用于图像多尺度边缘检测的有效流程。
3.
Multi-scale edge detection based on over-sampled filter banks is studied.
研究基于过采样滤波器组的多尺度边缘检测算法。
3) multiscale edge detection
多尺度边缘检测
1.
A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper,and the efficiency of the method is clarified.
提出了一种用于多尺度边缘检测的小波变换滤波器系数的计算方法,并且以具体例子进行了检验,表明了该方法的有效性。
4) multiscale edges detection
多尺度边缘检测
1.
From multiscale edges detection,the conclusion is drawn that in certain scale, circular defect is considered as crest edge in two directions, and bar defect in one direction.
从多尺度边缘检测的角度分析得出:在一定尺度下,圆形缺陷在两个方向上都看作是屋脊边缘,而条形缺陷只在一个方向上被看作是屋脊边缘。
2.
According to the theory of multiscale edges detection,the conclusion was drawn that in appropriate scale,circular defects are considered as roof edges in two directions that are orthogonal,while bar defects are viewed as roof edges in one direction.
由多尺度边缘检测理论可知:在适当尺度下,圆形缺陷在相互正交的两个方向上都是屋脊边缘,而条形缺陷只在一个方向上是屋脊边缘。
5) ral edge detector
图像多边检测器
6) morphological edge detection
形态边缘检测
1.
In this paper applications of mathematical morphology in edge detection are thoroughly discussed,and a new morphological edge detection operator based on them is presented and used to detect image edge.
在深入地探讨数学形态学在边缘检测领域中的应用的基础上,提出了一种形态边缘检测算子,并用该算子提取图像边缘。
补充资料：凹多边形
Image:11534686683212413.jpg
凹多边形
把一个各边不自交的多边形任意一边向两方无限延长成为一直线，如果多边形的其他各边不在此直线的同旁，那么这个多边形就叫做凹多边形。
凹多边形的内角和的解，其实我们可以通过（n-2）·180来计算。实际上是把大于平角的角划分为两个角（如图）
说明：补充资料仅用于学习参考，请勿用于其它任何用途。