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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： YUAN, SF ZHANG, XR CHEN, LX HONG, J Harbin Institute of Technology (China)

ISBN: (纸本)0819410268

The application of morphological transformations in defect detecting of printed circuit boards (PCB) is discussed. computer simulation results are given to demonstrate defect detection of PCBs with morphological transformations. A programmable optical binary image morphological processor is given to implement this kind of defect detecting.

关键词： Defect detection Binary data Image processing computer vision technology Machine vision computer simulations Computing systems Frame grabbers Robot vision robots

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OBJECT SEGMENTATION techniques FOR USE IN LABORATORY VISUAL AUTOMATION SYSTEMS

OBJECT SEGMENTATION TECHNIQUES FOR USE IN LABORATORY VISUAL ...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： EGGLESTON, P Amerinex Artificial Intelligence Inc. (United States)

ISBN: (纸本)0819410268

In designing automated systems for interpretation or manipulation of laboratory image data such as that derived from microphotographs, it is often the goal to perform operations that extract information about the structure of objects, and to separate and discern various objects within the data. Measurements of the events, called features, can then be calculated and used for process or statistical analysis. Given a transformation of the pixel based image data into an explicit symbolic representation of the objects (i.e., the creation of objects of interest or Tokens), desired information can be extracted and characterized from the visual data. Simple segmentation schemes often lack the sophistication to deal with intricate or very subtle details of this image data. This paper discusses advanced techniques useful in obtaining information relevant to the recognition and extraction of objects of interest in laboratory vision automation applications.

关键词： Image segmentation computer vision technology Image processing Machine vision Edge detection Robot vision robots Visualization Image processing algorithms and systems Photomicroscopy

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SEGMENTATION USING RANGE DATA AND STRUCTURED LIGHT

SEGMENTATION USING RANGE DATA AND STRUCTURED LIGHT

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CONF ON intelligent robots AND computer vision 9 : algorithms AND techniques

作者： HU, GZ Central Michigan Univ. (United States)

ISBN: (纸本)0819404489

A segmentation approach is presented that uses combined information of range data and structured light. Structured light are good for extracting surface patches that cannot be easily obtained from gray scale images. Furthermore surface normal discontinuity can be detected at light stripe flection points. Accidental alignments of light stripes may confuse the boundaries of surfaces that are at different depths. This problem can be solved using range data that are specially good for detecting depth discontinuity.

关键词： Image segmentation Structured light Robot vision Image processing algorithms and systems computer vision technology Machine vision robots Algorithm development Detection and tracking algorithms 3D image processing

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A Survey of computer vision Detection, Visual SLAM algorithms, and Their Applications in Energy-Efficient Autonomous Systems

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ENERGIES 2024年第20期17卷 5177页

作者： Chen, Lu Li, Gun Xie, Weisi Tan, Jie Li, Yang Pu, Junfeng Chen, Lizhu Gan, Decheng Shi, Weimin Univ Elect Sci & Technol China Sch Aeronaut & Astronaut Chengdu 611731 Peoples R China Yangtze Normal Univ Sch Elect Informat Engn Chongqing 408100 Peoples R China Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China

Within the area of environmental perception, automatic navigation, object detection, and computer vision are crucial and demanding fields with many applications in modern industries, such as multi-target long-term visual tracking in automated production, defect detection, and driverless robotic vehicles. The performance of computer vision has greatly improved recently thanks to developments in deep learning algorithms and hardware computing capabilities, which have spawned the creation of a large number of related applications. At the same time, with the rapid increase in autonomous systems in the market, energy consumption has become an increasingly critical issue in computer vision and SLAM (Simultaneous Localization and Mapping) algorithms. This paper presents the results of a detailed review of over 100 papers published over the course of two decades (1999-2024), with a primary focus on the technical advancement in computer vision. To elucidate the foundational principles, an examination of typical visual algorithms based on traditional correlation filtering was initially conducted. Subsequently, a comprehensive overview of the state-of-the-art advancements in deep learning-based computer vision techniques was compiled. Furthermore, a comparative analysis of conventional and novel algorithms was undertaken to discuss the future trends and directions of computer vision. Lastly, the feasibility of employing visual SLAM algorithms in the context of autonomous vehicles was explored. Additionally, in the context of intelligent robots for low-carbon, unmanned factories, we discussed model optimization techniques such as pruning and quantization, highlighting their importance in enhancing energy efficiency. We conducted a comprehensive comparison of the performance and energy consumption of various computer vision algorithms, with a detailed exploration of how to balance these factors and a discussion of potential future development trends.

关键词： computer vision object detection visual tracking energy efficiency visual SLAM deep learning driverless robotic vehicles

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Splinter detection of half-cut peaches

Splinter detection of half-cut peaches

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Conference on intelligent robots and computer vision XVI - algorithms, techniques, Active vision, and Materials Handling

作者： Vizmanos, JG Fuentes, LM Gutierrez, JA Univ. de Valladolid (Spain) SIFISA (Spain)

A machine vision system has been developed to separate half cut peaches with small splinters from clean ones. The system uses the different spectral profile of both together with an ad hoc illuminating system. The sys... 详细信息

ISBN: (纸本)0819426407

关键词： machine vision real time processing peaches food industry

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INCORPORATING COLOR AND SPATIOTEMPORAL STEREOvision techniques FOR ROAD FOLLOWING

INCORPORATING COLOR AND SPATIOTEMPORAL STEREOVISION TECHNIQU...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： SUNG, E MYINT, T Nanyang Technological Univ. (Singapore)

ISBN: (纸本)0819410268

This paper proposes a method of implementing stereovision in existing mobile robot perception systems without having to solve the classical stereo correspondence problem. The proposed method makes use of the fact that tracking of features is an easier task than performing stereo correspondence. A two-view motion stereo system is implemented in which the correspondence between two cameras is found by temporal stereo tracking. The algorithm assumes an initial stereo match of homologous features seen in the two cameras but subsequently the algorithm reliably tracks each feature by use of accurate odometric information, and accurate 3-D information can be derived from each matched feature. The derived set of 3-D data (of points, lines, and regions) are then fed to a fast surface reconstruction algorithm for later stage interpretation. The proposed scheme can be added to existing mobile robot road following systems at little added cost.

关键词： Cameras Roads Image segmentation Detection and tracking algorithms robots Calibration Mobile robots computer vision technology Machine vision Robot vision

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MULTIRESOLUTION SEGMENTATION OF RANGE IMAGES BASED ON BAYESIAN DECISION-THEORY

MULTIRESOLUTION SEGMENTATION OF RANGE IMAGES BASED ON BAYESI...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： BOULANGER, P GODIN, G National Research Council Canada (Canada)

ISBN: (纸本)0819410268

This paper describes recent work on hierarchical segmentation of range images. The algorithm starts with an initial partition of small planar regions using a robust fitting method constrained by the detection of depth and orientation discontinuities. From this initial partition represented by an adjacency graph structure, we optimally group these regions into larger and larger regions until an approximation limit is reached. The algorithm uses Bayesian decision theory to determine the local optimal grouping and the geometrical complexity of the approximation surface. This algorithm produces a hierarchical structure that can be used to represent objects with a varying level of detail by scanning through the hierarchical structure generated. Experimental results are presented.

关键词： Image segmentation Image processing algorithms and systems Data modeling computer vision technology Error analysis Machine vision Robot vision robots Detection and tracking algorithms Signal to noise ratio

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NEW ENTROPY OPERATOR FOR EDGE ABSTRACTION 12

NEW ENTROPY OPERATOR FOR EDGE ABSTRACTION

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： XIE, XH TIAN, XQ LUO, LM SOUTHEAST UNIV DEPT BIOMED ENGNNANJING 210018PEOPLES R CHINA

ISBN: (纸本)0819413208

This paper presents a new exponential behavior based entropy operator for extracting image edges. Edges can be detected by computing the entropy of brightness or hue in a local region of a picture. The entropy depends not only on the rate of change of brightness or hue, but also on the average brightness or hue. The experimental result verifies the efficiency of the new entropy operator.

关键词： Edge detection computer vision technology Image processing Machine vision Computing systems Image filtering Image segmentation Robot vision robots Image information entropy

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Efficient discrimination of active lighting in machine vision

Efficient discrimination of active lighting in machine visio...

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Conference on intelligent robots and computer vision XX: algorithms, techniques, and Active vision

作者： Viitanen, J VTT Automation (Finland)

ISBN: (纸本)081944300X

A new optical arrangement is introduced for such applications of machine vision that need to discriminate structured laser lighting from stray ambient lighting. Instead of using transmissive filters that usually have high attenuation, a double reflective filter arrangement is presented. A combination of dielectric and metallic mirrors achieves steep stopband attenuation especially in the near infrared region where Si detectors are sensitive and common blackbody-like radiators have high spectral density. An additional advantage follows from the compact size of such a Maksutov-type mirror telescope. Compared to a corresponding refractive design, the length is reduced to less than half.

关键词： Light sources and illumination Machine vision Lithium Mirrors Optical filters Signal attenuation Active vision computer vision technology Robot vision robots

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AUTOMATIC INSPECTION OF ELECTRONIC SURFACE-MOUNT ASSEMBLIES 12

AUTOMATIC INSPECTION OF ELECTRONIC SURFACE-MOUNT ASSEMBLIES

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： FORTE, P BROWN, G BARNWELL, P MALYAN, R NETHERWOOD, P KINGSTON UNIV SCH COMP SCI & ELECTR SYSTKINGSTON THAMES KT1 2EESURREYENGLAND

An approach to image analysis is described consisting of five stages: edge detection, thresholding, linking, shape description and shape abstraction. The approach is illustrated by applying the steps to the problem of... 详细信息

ISBN: (纸本)0819413208

关键词： Inspection computer vision technology Machine vision Edge detection Robot vision robots Image analysis Image segmentation Shape analysis Telecommunications

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