A new image feature point detection method based on Log-Gabor gradient feature

Image feature points are detected as pixels which locally maximise a detector function, two commonly used examples of which are the (Euclidean) image gradient and the Harris–Stephens corner detector. A major limitation of these feature detectors is that they are only Euclidean-invariant. In this work, we demonstrate the application of a 2D equi-affine-invariant image feature point detector based on differential invariants as derived through the equivariant method of moving frames. The fundamental equi-affine differential invariants for 3D image volumes are also computed.

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Illumination-Invariant Feature Point Detection Based on Neighborhood Information

Sensors ◽

10.3390/s20226630 ◽

2020 ◽

Vol 20 (22) ◽

pp. 6630

Author(s):

Ruiping Wang ◽

Liangcai Zeng ◽

Shiqian Wu ◽

Wei Cao ◽

Kelvin Wong

Keyword(s):

Feature Detection ◽

Detection Method ◽

Experimental Results ◽

Feature Point ◽

Detection Methods ◽

Feature Points ◽

Illumination Invariant ◽

Neighborhood Information ◽

Invariant Feature ◽

Point Detection

Feature point detection is the basis of computer vision, and the detection methods with geometric invariance and illumination invariance are the key and difficult problem in the field of feature detection. This paper proposes an illumination-invariant feature point detection method based on neighborhood information. The method can be summarized into two steps. Firstly, the feature points are divided into eight types according to the number of connected neighbors. Secondly, each type of feature points is classified again according to the position distribution of neighboring pixels. The theoretical deduction proves that the proposed method has lower computational complexity than other methods. The experimental results indicate that, when the photometric variation of the two images is very large, the feature-based detection methods are usually inferior, while the learning-based detection methods performs better. However, our method performs better than the learning-based detection method in terms of the number of feature points, the number of matching points, and the repeatability rate stability. The experimental results demonstrate that the proposed method has the best illumination robustness among state-of-the-art feature detection methods.

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Research on Vehicle License Plate Feature Point Detection Method Based on Convolutional Neural Network

10.4271/2021-01-7007 ◽

2021 ◽

Author(s):

Liang Zhang ◽

Qiujin Xu ◽

Xing Li ◽

Xiaomin Zhao ◽

Yongfang Qi ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Detection Method ◽

Feature Point ◽

License Plate ◽

Point Detection

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Structural Change Point Detection Method of Time Series Using Sequential Probability Ratio Test

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.128.583 ◽

2008 ◽

Vol 128 (4) ◽

pp. 583-592 ◽

Cited By ~ 4

Author(s):

Hiromichi Kawano ◽

Tetsuo Hattori ◽

Ken Nishimatsu

Keyword(s):

Time Series ◽

Structural Change ◽

Change Point ◽

Detection Method ◽

Sequential Probability Ratio Test ◽

Change Point Detection ◽

Ratio Test ◽

Probability Ratio ◽

Sequential Probability ◽

Point Detection

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An Optimal Vanishing Point Detection Method with Error Analysis

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2012.00213 ◽

2012 ◽

Vol 38 (2) ◽

pp. 213-219 ◽

Cited By ~ 1

Author(s):

Hai-Feng LI ◽

Jing-Tai LIU

Keyword(s):

Error Analysis ◽

Detection Method ◽

Vanishing Point ◽

Vanishing Point Detection ◽

Point Detection

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Design of Swimming Pool Temperature Dot Matrix Screen Display

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.2208 ◽

2014 ◽

Vol 556-562 ◽

pp. 2208-2211

Author(s):

Xue Feng Yang

Keyword(s):

Water Temperature ◽

Real Time ◽

Room Temperature ◽

Detection Method ◽

Swimming Pool ◽

Real Time Monitoring ◽

Real Time Processing ◽

The Core ◽

Swimming Pool Water ◽

Point Detection

According to the need of the real-time monitoring and displaying of the environment in many areas,to put forward a method of temperature monitoring and displaying, using STC11F32XE microcontroller as the core controller, DS18B20 as temperature acquisition chip, 32X64LED dot matrix screen as a display screen,using the mothod of multi point detection method,real-time monitoring of swimming pool water temperature and room temperature, real-time displaying of Multipoint collecting information, Real time processing the detected temperature, the page display to multipoint temperature display through the wireless remote control module,the system will alarm When the water temperature is too high or too low, to remind managers of real-time processing.To design a clear temperature display for the swimming pool,real time monitoring and controlling is very convenient,after the experimental verification, the system reaches the anticipative goal,the system is an ideal and effective.

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