Sobel

Edge detection is a cornerstone of image processing, yet existing methods often face critical limitations.

Traditional deep learning edge detection methods require extensive training datasets and fine-tuning, while classical techniques often fail in complex or noisy scenarios, limiting their real-world applicability.

To address these limitations, we propose a training-free, quantum-inspired edge detection model.

Our approach integrates classical Sobel edge detection, the Schrödinger wave equation refinement, and a hybrid framework combining Canny and Laplacian operators.

arXiv:2501.18929

Defective Edge Detection Using Cascaded Ensemble Canny Operator

Edge detection has been one of the most difficult challenges in computer vision because of the difficulty in identifying the borders and edges from the real-world images including objects of varying kinds and sizes. Methods based on ensemble learning, which use a combination of backbones and attention modules, outperformed more conventional approaches, such as Sobel and Canny edge detection. Nevertheless, these algorithms are still challenged when faced with complicated scene photos. In addition, the identified edges utilizing the current methods are not refined and often include incorrect edges. In this work, we used a Cascaded Ensemble Canny operator to solve these problems and detect the object edges. The most difficult Fresh and Rotten and Berkeley datasets are used to test the suggested approach in Python. In terms of performance metrics and output picture quality, the acquired results outperform the specified edge detection networks arXiv:2411.14868

笔记： 这篇论文短小，架构可以借鉴。 canny算法改良的关键步骤包括： 1. 梯度值计算算子改进 2. 自动化高低阈值设定或者边缘连接算法改进

Edge Connection Based Canny Edge Detection Algorithm1 改良Canny算法，这篇论文也非常适合参考学习。

Song, Renjie; Zhang, Ziqi; Liu, Haiyang (2017). Edge connection based Canny edge detection algorithm. Pattern Recognition and Image Analysis, 27(4), 740–747. doi:10.1134/S1054661817040162

An Improved Canny Edge Detection Algorithm http://sci.bban.top/pdf/10.1109/icma.2014.6885761.pdf#view=FitH 提出一个新的soble卷积核