In this paper we present a new morphological edge detection method using a multi-scale approach.
提出一种适应于显微图像的多尺度形态边缘检测算法。
An approach of image feature representation that combines the multi-scale image decomposition technique and contour theory is proposed.
结合多尺度图像分解技术和等高线理论提出了一种图像特征表达方法。
General linear and nonlinear smoothing in an intensity image can blur corners seriously, so its difficult to detect corners by a multi scale approach.
对灰度图进行一般线性和非线性平滑会极大程度地模糊拐角，使得多尺度方法难以用于拐角检测。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
Established a framework to assess the interactions between ecosystems and human well-being, and a analytical approach to conduct multi-scale and integrated assessments.
阐述了评估生态系统与人类福祉之间相互关系的框架，并建立了多尺度、综合评估它们各个组分之间相互关系的方法。
Established a framework to assess the interactions between ecosystems and human well-being, and a analytical approach to conduct multi-scale and integrated assessments.
阐述了评估生态系统与人类福祉之间相互关系的框架，并建立了多尺度、综合评估它们各个组分之间相互关系的方法。
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