Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques-Reference-Cited by-同舟云学术

Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques

Published:2019-06 Issue: Volume:347 Page:82-93
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Cuevas Erik^ORCID,Díaz-Cortes Margarita-Arimatea^ORCID,Mezura-Montes Efrén^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference57 articles.

1. ORB: an efficient alternative to SIFT or SURF;Rublee,2011

2. A survey of recent advances in visual feature detection;Yali;Neurocomputing,2015

3. Corners detection on finger vein images using the improved Harris algorithm;Cui;Optik,2014

4. An object recognition and identification system using the Harris Corner Detection Method;Kitti;Int. J. Mach. Learn. Comput.,2012

5. Image registration and stitching algorithm of rice low-altitude remote sensing based on Harris corner self-adaptive detection;Zhou;Trans. Chin. Soc. Agricult. Eng.,2015

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel passivity and dissipativity criteria for discrete-time fractional generalized delayed Cohen–Grossberg neural networks;Communications in Nonlinear Science and Numerical Simulation;2024-06

2. Multi-scale LBP fusion with the contours from deep CellNNs for texture classification;Expert Systems with Applications;2024-03

3. Overview on Interest Point Detection Over 40 Year’s Development: A Review;IEEE Sensors Journal;2023-11-15

4. On the generalized k-cosine arithmetic-mean curvature for multi-scale corner detection;Expert Systems with Applications;2023-11

5. Dynamical behavior of stochastic cellular neural networks with distributed time delays;Mathematical Methods in the Applied Sciences;2022-11-20