基于自适应 Gabor 滤波器的脉冲耦合神经网络用于路面裂缝分割

Q3 Engineering Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI:10.22201/icat.24486736e.2024.22.1.1837

A. Luna Álvarez, D. Mújica Vargas, J. D. J. Rubio, A. Rosales Silva

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引用次数: 0

摘要

本文提出了一种基于自适应 Gabor 滤波器的脉冲耦合神经网络，用于分割数字图像中的路面裂缝。通过估计图像中的噪声，对模型神经元的滤波器参数进行调整。结果，迭代次数减少到 2%，精度达到 90%。90% 的精度。该算法在 GPU 上实现了并行化，无论图像的尺寸是 M 还是 N，处理时间都缩短至 n/NM。

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Pulse-coupled neural network based on an adaptive Gabor filter for pavement crack segmentation

This article proposes a Pulse-Coupled Neural Network based on an adaptive Gabor filter for the segmentation of cracks in the pavement in digital images. By estimating the noise in the image, the parameters of the filter that convolves the neurons of the model are adjusted. As a result iterations were reduced to 2%with ? 90% precision. The algorithm was parallelized on the GPU and the processing time was reduced to n/NM regardless of the M and N dimensions of theimage.

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来源期刊

Journal of Applied Research and Technology 工程技术-工程：电子与电气

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work. The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs. JART classifies research into the following main fields: -Material Science: Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors. -Computer Science: Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering. -Industrial Engineering: Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies -Electronic Engineering: Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation. -Instrumentation engineering and science: Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.