An effective image shape feature detection and description method

Chen, Xiuxin; Wei, Shiang; Xing, Suxia; Jia, Kebin

doi:10.1109/mec.2011.6025871

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Main methods [32] include shape feature method, template matching method, statistical method, etc. Shape features include global features (such as color [33], texture [34] and shape [35]) and local features (such as corner point [36] and extreme point). Image features are easily affected in the image collecting process, which puts forward challenges for the target recognition: Colour depends on light conditions; Texture features are dependent on image resolution and even affected by illumination; Shape features can also be distorted due to viewpoint changes, leading to recognition failure; Corner point where the gray changes sharply with the direction, is sensitive to scale variations.…”

Section: B Target Recognitionmentioning

confidence: 99%

A Review on Significant Technologies Related to the Robot-Guided Intelligent Bolt Assembly Under Complex or Uncertain Working Conditions

Zhang

Liu

et al. 2019

IEEE Access

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In most existing bolt assembling operations, the human-machine collaboration (HMC) is used to guarantee both the operational efficiency and the connection quality. However, the huge labor intensity and costs are still needed when there exist bolts with huge quantity and multiple models in some special working environments, for example locomotive maintenance and automobile assembly. Actually, the robotic application can better solve the above problem. The main reason why this application is limited in the bolt assembly is due to the technological barriers related to the intelligent control. This paper firstly introduces the HMC-based and the robot-guided bolt assembly processes in detail, then summarizes the latest researches related to the significant technologies needed in the robot-guided assembly to show their present status and future trends. Finally based on the technology limitations this paper further presents some suggestions for future studies of each technology, which attempts to help readers broaden their research thoughts and speed up the development of the robot-guided bolt assembly.INDEX TERMS Automatic bolt assembly, robotic application, technological barrier, intelligent control.

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Section: B Target Recognitionmentioning

confidence: 99%

A Review on Significant Technologies Related to the Robot-Guided Intelligent Bolt Assembly Under Complex or Uncertain Working Conditions

Zhang

Liu

et al. 2019

IEEE Access

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Algorithm for faster computation of non-zero graph based invariants

et al. 2014

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Vision based square matrix design and detection for robotic routing

Lee

Wong

Min

et al. 2015

2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

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Robot vision is essential to aid in performing robotic tasks. Existing robotic path tracking methods used in the industry such as line following are simple but not capable to cater for continuous floor plan changes. This paper proposes a new vision based pattern design and detection algorithm that can be implemented on an existing mobile robot structure to provide path tracking and routing. A unique pattern that is capable to embed information is successfully designed. The detection algorithm is tested at different lighting conditions, pattern size and orientation. A larger pattern size and good lighting conditions has produced favorable high detection of the pattern. Subsequently, after pattern detection, a unique identifier of the pattern is generated in the form of a binary matrix. The generated binary matrix is proposed to be used as a location identifier to aid in mobile robot routing.

show abstract

An effective image shape feature detection and description method

Cited by 3 publications

References 5 publications

A Review on Significant Technologies Related to the Robot-Guided Intelligent Bolt Assembly Under Complex or Uncertain Working Conditions

A Review on Significant Technologies Related to the Robot-Guided Intelligent Bolt Assembly Under Complex or Uncertain Working Conditions

Algorithm for faster computation of non-zero graph based invariants

Vision based square matrix design and detection for robotic routing

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