An adaptive multiscale edge detection method based on region energy analysis is presented here.
针对这一点，提出一种新的基于区域能量比的图像融合算法。
Based on the analysis and on the ratio between region energy threshold difference and region area, the adaptive multiscale edge detection method is developed.
在此基础上提出了一种基于区域能量阈值差与区域面积比值的自适应多尺度方法，最后给出了仿真实验以及与传统方法的对比。
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。
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.
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。
The principle of multiscale edge detection by wavelets is presented firstly, and the multiscale edges of the earth's gravity field are analyzed with the EGM96 model as an example.
简要介绍了小波多尺度边缘检测的基本原理，以EGM96重力场模型为例分析了地球重力场的多尺度边缘。
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。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景，较深入地进行了遥感图像多尺度边缘分割的方法研究。
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.
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。
This paper use the multiscale wavelet analysis to filter the noise, then use wavelet transform local maximum in the detection to edge of image.
当图像数据混有噪声的时候，对边缘的检测比较困难。
This paper use the multiscale wavelet analysis to filter the noise, then use wavelet transform local maximum in the detection to edge of image.
当图像数据混有噪声的时候，对边缘的检测比较困难。
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