On Vision-Based Orientation Detection Analysis of Industrial Object with Circular-Shape Features

For the need of accuracy orientation location about work piece with circle features in vision-based automatic assemble industry, a kind of orientation detection method about work piece based on monocular vision was presented to locate the work piece and then adjust the orientation of assembly parts to guarantee the assembly precision. Ellipse parameters and center point of contours about holes was solved by extracting the center and edge about given the work piece with four holes in the experiment, orientation and location about surface of work piece can be derived. And then Automatic assemble was implemented by orientation of work piece feeding back to robot manipulator to adjust the orientation of assembling part. Experiment analysis has demonstrated that the uncertain of position is less than 8 um and the uncertain of orientation is less than 5 degree.

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A monocular-vision-based contouring error detection method for CNC machine tools

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) ◽

10.1109/i2mtc.2018.8409552 ◽

2018 ◽

Cited By ~ 1

Author(s):

Xiao Li ◽

Wei Liu ◽

Yi Pan ◽

Hui Li ◽

Xin Ma ◽

...

Keyword(s):

Error Detection ◽

Machine Tools ◽

Detection Method ◽

Monocular Vision ◽

Cnc Machine Tools ◽

Cnc Machine ◽

Contouring Error

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New Edge Detection Method for Indonesian Batik

Jurnal Buana Informatika ◽

10.24002/jbi.v2i1.308 ◽

2011 ◽

Vol 2 (1) ◽

Cited By ~ 1

Author(s):

Thomas Adi Purnomo Shidi ◽

Suyoto Suyoto

Keyword(s):

Image Processing ◽

Computer Vision ◽

Edge Detection ◽

Detection Method ◽

New Method ◽

Analysis Method ◽

Unique Pattern ◽

Detection Analysis ◽

Edge Detection Method

Abstrak. Metode Baru Deteksi Tepi untuk Batik Indonesia. Didalam paper ini, diusulkan sebuah metode pendeteksi baru untuk motif batik. Deteksi tepi sudah sangat sering digunakan didalam pemrosesan gambar. Batik motif adalah salah satu contoh gambar yang memiliki bentuk yang unik dan menarik untuk dianalisis. Metode yang digunakan pada paper ini adalam metode canny dan prewit dan akan menghasilkan metode baru yaitu metode Thomas. Perbedaan antara metode dan hasil akan dilihat dari sisi ketepatan, qualitas hasil dan kejelasan. Contoh batik yang akan digunakan adalah motif parang, motife lereng dan udan liris. Ketiga batik tersebut memiliki polaÂ yang unik.Â Kata kunci : Canny, Prewitt, Thomas, Batik, Parang, Lereng, Udan liris.Â Abstract. New Edge Detection Method for Indonesian Batik. In this paper, we propose a new edge detection analysis method on batiks motif. Edge detection has been oftenlyÂ used in computer vision and image processing. IndonesianÂ Batiks motif are some example of graphic picture that has unique pattern that interesting to analyse. The method that used for example on this paper are canny and prewit and produce a new method, thomas method. the differentÂ amongs the method, the result of comparison appears on quality, accuracy and clarity. The example that we use are parang batiks motive, lereng batiks motive, and udan liris batiks motive. Three of batiks motive above are have unique pattern.Â Keywords: Canny, Prewitt, Thomas, Batik, Parang, Lereng, Udan liris.

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SHAPE-BASED ADULT IMAGE DETECTION

International Journal of Image and Graphics ◽

10.1142/s0219467806002082 ◽

2006 ◽

Vol 06 (01) ◽

pp. 115-124 ◽

Cited By ~ 22

Author(s):

QING-FANG ZHENG ◽

WEI ZENG ◽

WEI-QIANG WANG ◽

WEN GAO

Keyword(s):

Skin Color ◽

Detection Method ◽

Skin Detection ◽

Shape Descriptors ◽

Shape Features ◽

Image Detection ◽

Classification Schemes ◽

Skin Color Detection ◽

Color Detection ◽

Boosted Classifiers

This paper investigates adult images detection based on the shape features of skin regions. In order to accurately detect skin regions, we propose a skin detection method using multi-Bayes classifiers in the paper. Based on skin color detection results, shape features are extracted and fed into a boosted classifier to decide whether or not the skin regions represent a nude. We evaluate adult image detection performance using different boosted classifiers and different shape descriptors. Experimental results show that classification using boosted C4.5 classifier and combination of different shape descriptors outperforms other classification schemes.

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An Road Obstacle Detection Method Based on Monocular Measurement

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.55-57.539 ◽

2011 ◽

Vol 55-57 ◽

pp. 539-544

Author(s):

Hong Jiao Jin ◽

Shen Lin ◽

Shi Guang Luo

Keyword(s):

Detection Method ◽

Vision System ◽

Measurement Model ◽

Obstacle Detection ◽

Monocular Vision ◽

Projection Model ◽

Vision Navigation ◽

Acceptable Range ◽

World Coordinate System ◽

The World

Obstacle detection in the intelligent vehicle vision navigation system occupies a very important role. The studies for the obstacles detecting, especially Monocular Measurement from the computer vision, simplifying monocular vision system to camera projection model. Getting the conversion relation between image coordinate and the world coordinate system through the geometry derivation to establish the measurement model and achieve the obstacle measurement. The experiment proved that the error of this measurement model selected is within the acceptable range.

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A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.145.547 ◽

2011 ◽

Vol 145 ◽

pp. 547-551 ◽

Cited By ~ 1

Author(s):

Zahari Taha ◽

Jessnor Arif Mat Jizat

Keyword(s):

Edge Detection ◽

Collision Avoidance ◽

Detection Method ◽

Monocular Vision ◽

Automated Guided Vehicle ◽

False Detection ◽

Canny Edge Detection ◽

Canny Edge ◽

Edge Detection Method ◽

Robot Platform

In this paper a comparison of two approaches for collision avoidance of an automated guided vehicle (AGV) using monocular vision is presented. The first approach is by floor sampling. The floor where the AGV operates, is usually monotone. Thus, by sampling the floor, the information can be used to search similar pixels and establish the floor plane in its vision. Therefore any other objects are considered as obstacles and should be avoided. The second approach employs the Canny edge detection method. The Canny edge detection method allows accurate detection, close to real object, and minimum false detection by image noise. Using this method, every edge detected is considered to be part of an obstacle. This approach tries to avoid the nearest obstacle to its vision. Experiments are conducted in a control environment. The monocular camera is mounted on an ERP-42 Unmanned Solution robot platform and is the sole sensor providing information for the robot about its environment.

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Studies on CCD On-Line Detection in Curve Grinding

Materials Science Forum ◽

10.4028/www.scientific.net/msf.505-507.607 ◽

2006 ◽

Vol 505-507 ◽

pp. 607-612

Author(s):

Yong Hong Zhang ◽

Hui Qiang Tang ◽

Quan Lin Bu ◽

De Jin Hu

Keyword(s):

Detection Method ◽

Field Of View ◽

Large Field ◽

Work Piece ◽

Working Process ◽

Tolerance Zone ◽

Fitting Method ◽

On Line ◽

Image Edge ◽

Curve Fitting Method

An on-line image measurement system for curve grinding was schemed out according to the working process. Because of interaction between detection precision and field of view, it is difficult to realize high detection precision at a large field of view. In order to settle this problem, a detection method based on circular tolerance zone was presented according to grinding process and wheel shape. Real-time images of work piece can be gathered while using synchronal control and outer trigger technology. Using curve fitting method, the work piece image edge can be located to sub-pixel values. Experiments show that the proposed method in this paper is effective, and its detection precision and results are reasonable.

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