We first propose and analyze a multi-edge model described by the sum of two stationary stochastic processes plus a white noise.
Edge detector considered as a smoothing filter followed by a differential operator. and the recursive realization, multiple edges can therefore Suppose M(x) is ...
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Edge detection is a fundamental and essential pre-processing step in applications such as image segmentation and computer vision.
Abstract. This paper presents an approach based on the analysis of an image sequence to detect temperature fronts in a sea surface temperature image.
This paper describes a robust multi-channel edge detection algorithm that localizes the structure of the target object from the local gradient distribution ...
We introduce at first the complicated multi-edge model and show that the optimal filter as a preparation for multi edge detection, is a cascade of Infinite size ...
The goal of the multi-channel edge detection algorithm is to seek edges corresponding to the physical structure of real objects (e.g., the docking tar- get) ...
The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.
Jun 5, 2023 · This paper proposes an adaptive edge detection method that combines multi-scale closest neighbor operator with grid partition technique (MSCNOGP).
An image edge detection algorithm based on improved HED and feature fusion is proposed. On the one hand, features are extracted using the improved HED network.