Aiming at the problem that the current image edge detection algorithm is not accurate enough to capture the edge contour, an image edge detection algorithm based on Wolf king algorithm was proposed.

This Study is about comparative analysis of the efficiency of three most common edge detection algorithms which are Laplacian, Sobel and Canny edge detection. The key factor of this research lies in ...

On the basis of vehicle automated driving research and the route to record, auto channel identification is particularly important. Therefore, in the case of considering the car speed to quickly ...

A method is illustrated in this paper for edge detection of moving objects in video sequences, the method synthetically combines LS-SVM (Least Squares-Support Vector Machines) algorithm with motion ...

Digital image processing is required for the analysis of an image. To perform the analysis different types of feature extraction approaches are introduced. The approaches work pretty good and perform ...

The Segment Anything Model (SAM) excels at generating high-quality object masks with various prompts but struggles in ultra-low light. We developed EP-SAM (Edge-Detection Prompt SAM) with a Low Light ...

In this paper, on the basis of discussing different image edge detection methods, in view of the problems caused by improper selection of threshold value of Canny operator, image edge discontinuous, ...

Conventional algorithms demonstrate poor performance in complex urban road settings. Factors like noise, shadows, and changes in the composition of the road surface in photos can erode the accuracy of ...

As urban road damage issues become increasingly severe, automated road damage detection systems are becoming critically important. This paper proposes a CNN-YOLO-based road damage detection model ...

Change detection (CD) in remote sensing (RS) images serves as a vital method for identifying changes on the Earth's surface. Recent advancements in deep learning (DL)-based CD methods have shown ...

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