scholarly journals Parking Space and Obstacle Detection Based on a Vision Sensor and Checkerboard Grid Laser

2020 ◽  
Vol 10 (7) ◽  
pp. 2582 ◽  
Author(s):  
Shidian Ma ◽  
Zhongxu Jiang ◽  
Haobin Jiang ◽  
Mu Han ◽  
Chenxu Li
Keyword(s):  
Image Processing ◽  
Region Of Interest ◽  
Obstacle Detection ◽  
Parking Space ◽  
Vision Sensor ◽  
Laser Device ◽  
Visual Sensor ◽  
Surrounding Environment ◽  
Laser Transmitter ◽  
Grid Mesh

The accuracy of automated parking technology that uses ultrasonic radar or camera vision for obstacles and parking space identification can easily be affected by the surrounding environment especially when the color of the obstacles is similar to the ground. Additionally, this type of system cannot recognize the size of the obstacles detected. This paper proposes a method to identify parking spaces and obstacles based on visual sensor and laser device recognition methods by installing a laser transmitter on the car. The laser transmitter produces a checkerboard-shaped laser grid (mesh), which varies with the condition encountered on the ground, which is then captured by the camera and taken as the region of interest for the necessary image processing. The experimental results show that this method can effectively identify obstacles as well as their size and parking spaces even when the obstacles and the background have a similar color compared to when only using sensors or cameras alone.

scholarly journals Demineralization Depth Using QLF and a Novel Image Processing Software

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Jun Wu ◽  
Zachary R. Donly ◽  
Kevin J. Donly ◽  
Steven Hackmyer
Keyword(s):  
Image Processing ◽  
Linear Regression ◽  
Polarized Light ◽  
Region Of Interest ◽  
Linear Regression Method ◽  
Percent Loss ◽  
Significant Linear Correlation ◽  
Processing Software ◽  
Image Processing Software ◽  
Imagej Software

Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Artificial caries-like lesions were created and imaged with QLF. Novel image processing software was developed to measure the largest percent of fluorescence loss in the region of interest. All teeth were then sectioned and imaged by polarized light microscopy. The largest depth of demineralization was measured by NIH ImageJ software. The statistical linear regression method was applied to analyze these data. The linear regression model wasY=0.32X+0.17, whereXwas the percent loss of fluorescence andYwas the depth of demineralization. The correlation coefficient was 0.9696. The two-tailed t-test for coefficient was 7.93, indicating theP-value=.0014. TheFtest for the entire model was 62.86, which shows theP-value=.0013. The results indicated statistically significant linear correlation between the percent loss of fluorescence and depth of the enamel demineralization.

Region of Interest Constrained Negative Obstacle Detection and Tracking With a Stereo Camera

2022 ◽  
pp. 1-1
Author(s):  
Tian Sun ◽  
Wei Pan ◽  
Yujie Wang ◽  
Yong Liu
Keyword(s):  
Region Of Interest ◽  
Obstacle Detection ◽  
Stereo Camera ◽  
Detection And Tracking ◽  
Negative Obstacle

scholarly journals Image Sensory Experience of Artistic Design Based on the Role of Omnidirectional Vision Sensors

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhen Tong
Keyword(s):  
Detection Rate ◽  
Information Dissemination ◽  
Sensory Experience ◽  
Image Texture ◽  
Omnidirectional Vision ◽  
Wide Field ◽  
Vision Sensor ◽  
Visual Sensor ◽  
Sensory Experiences ◽  
Art Design

As a sensor with a wide field of view, the panoramic vision sensor is efficient and convenient in perceiving the characteristic information of the surrounding environment and plays an important role in the experience of artistic design of images. The transformation of visual and other sensory experiences in art design is to integrate sound, image, texture, taste, and smell with each other through reasonable rules, to create more excellent crossborder art design works. To improve the sensory experience that art design works bring to the audience, the combination of vision and other sensory experiences can maximize the advantages of multiple information dissemination methods and combine the omnidirectional visual sensor with the sensory experience of art design images. In the method part, this article introduces the omnidirectional vision sensor, art design image, and sensory experience modes and content and introduces the hyperbolic concave mirror theory and the Micusik perspective projection imaging model. In the experimental part, the experimental environment, experimental objects, and experimental procedures of this article are introduced. In the analysis part, this article analyzes the six aspects of image database dependency test, performance, comparison of different distortion types, false detection rate and missing detection rate, algorithm time-consuming comparison, sensory experience analysis, and feature point screening. Among the feelings of the art design image, for the first image, 87.21% of the audience’s feelings are happy, indicating that the main idea of this image can bring joy to people. In the second image, the audience’s feelings are mostly sad. For the third image, more than half of the audience’s feelings are melancholy. For the fourth image, 69.34% of the audience’s inner feelings are calm. It explains that the difference in the content of art design images can bring different sensory experiences to people.

scholarly journals Perbandingan Metode Cropping pada Sebuah Citra untuk Pengambilan Motif Tertentu pada Kain Songket Sumatera Barat

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 97-107
Author(s):  
Yuhandri
Keyword(s):  
Image Processing ◽  
Data Processing ◽  
Programming Language ◽  
Region Of Interest ◽  
West Sumatra ◽  
Matlab Programming ◽  
Polygon Method

At the time of image processing where we only need a certain part of an image according to the needs called the Region of Interest (ROI), in order to obtain that, the processing is carried out in a cropping process. Cropping is mostly done by researchers, especially those who research in the field of image processing in order to do data processing on an image, the results of cropping process on an image are usually done to make it easier for researchers to focus on something that is needed only. In this study is to compare existing cropping methods to get a motif found in an image of West Sumatra songket fabric. In this study using the method of cropping rectangle, square, circle, ellipse, polygon and tested using the Matlab programming language. The results of comparison of 5 cropping methods for taking certain motifs on the songket image with 5 different songket image samples, shows that the best results are obtained by using the polygon method. Polygon method can reach certain coordinate points in a songket image, so that the results of cropping are better and other motives that are carried along during the cropping process can be reduced.

Foveated Vision Sensor and Image Processing – A Review

2005 ◽  
pp. 57-98 ◽  
Author(s):  
Mohammed Yeasin ◽  
Rajeev Sharma
Keyword(s):  
Image Processing ◽  
Vision Sensor ◽  
Foveated Vision

scholarly journals Experiment-Based Synthetic Structural Analysis Combining Digital Image Processing and a Strong Form Meshfree Method

2020 ◽  
Vol 10 (22) ◽  
pp. 8053 ◽  
Author(s):  
Junwon Park ◽  
Kyeong-Hwan Kim ◽  
Young-Cheol Yoon ◽  
Sang-Ho Lee
Keyword(s):  
Image Processing ◽  
Structural Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Region Of Interest ◽  
Meshfree Method ◽  
Strong Form ◽  
Bending Test ◽  
Target Area ◽  
Tracking Point

This paper presents an experiment-based synthetic structural analysis method that combines digital image processing (DIP) and the particle difference method (PDM), which is a strong form-based meshfree method. The proposed method uses images to determine the displacement of deformed specimens, interpolates the displacement onto nodes of the PDM model without meshes or grids, and calculates the kinematic variables. Furthermore, the pixel extraction method for the target area and the method of setting the region of interest for expediting DIP were used during the synthetic structural analysis. A method for effectively expanding the number of tracking points and an improved method for labeling tracking points are also presented. To verify the performance of the analysis, the experimental and numerical analysis results of a three-point bending test on a rubber beam were compared in terms of various mechanical variables as well as with the PDM results of a simulated bending test. It was found that tracking point expansion and adjusting the radius of the domain of influence are advantageous for performing an accurate calculation without losing computational efficiency. It was demonstrated that the synthetic structural analysis effectively overcomes the shortcomings of the conventional experiments and the limitations of pure simulations.

Injecting Mold Protection Method Based on Machine Vision

2012 ◽  
Vol 590 ◽  
pp. 475-482 ◽  
Author(s):  
Ping Jiang Wang ◽  
Chang Jie Xu ◽  
Ji Hong Chen ◽  
Xiao Qi Tang
Keyword(s):  
Foreign Body ◽  
Near Infrared ◽  
Region Of Interest ◽  
Difference Image ◽  
Background Updating ◽  
Surrounding Environment ◽  
Protection Method ◽  
The Difference ◽  
Background Image ◽  
Speed And Accuracy

Aimed at solving the problem of mold damage caused by a foreign body in the mold before mold clamping, this paper proposes a solution, which applies image processing technology such as background updating and the difference image algorithm to solve it. Not only can it judge whether there is a foreign body in the mold but it can also detect whether the product is perfect by comparing the foreground image with the background image at the appropriate time (before mold clamping or after mold opening) and by calculating the qualified rate of pixel in all ROIs (Region of Interest). To eliminate the influence of vibration and of changes in brightness in the surrounding environment on the detecting results, this paper utilizes near infrared illumination technology and the background updating algorithm. In addition, the ROI is set to improve the detecting speed and accuracy.

scholarly journals A Monocular Vision Sensor-Based Obstacle Detection Algorithm for Autonomous Robots

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 311 ◽  
Author(s):  
Tae-Jae Lee ◽  
Dong-Hoon Yi ◽  
Dong-Il Cho
Keyword(s):  
Autonomous Robots ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Monocular Vision ◽  
Vision Sensor
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