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Inventi Impact - Machine Vision

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    Journal Scope:

    Quarterly published ‘Inventi Rapid/Impact: Machine Vision’ publishes high quality unpublished, as well as high impact pre-published research and reviews expanding to - algorithms, architectures, VLSI implementations, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Its readership includes scientific, industrial, biomedical and military professionals.

  • A NOVEL MACHINE VISION SYSTEM FOR DETECTION OF RUST ON STEEL BRIDGES USING SUBTRACTION METHOD
    Akhtar I Nadaf, S B Patil, Ayyaz I Nadaf    Download Full Text

    Robotic machines are now of great interest for process automation. Machine vision (MV) is the technology and method used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control and robot guidance in industry. Machine vision is concerned with the theory behind artificial systems that extract information from images and sequence of im...

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  • A REAL-TIME APPLE GRADING SYSTEM USING MULTICOLOR SPACE
    Hayrettin Toylan, Hilmi Kuscu    Download Full Text

    This study was focused on the multicolor space which provides a better specification of the color and size of the apple in an image. In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. In the analysis, different color spaces were used. As a result, 97% identification success for the red fields of the apple was obtaine...

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  • NEW TRENDS IN ROBOTICS FOR AGRICULTURE: INTEGRATION AND ASSESSMENT OF A REAL FLEET OF ROBOTS
    Luis Emmi, Mariano Gonzalez-de-Soto, Gonzalo Pajares, Pablo Gonzalez-de-Santos    Download Full Text

    Computer-based sensors and actuators such as global positioning systems, machine vision, and laser-based sensors have progressively been incorporated into mobile robots with the aim of configuring autonomous systems capable of shifting operator activities in agricultural tasks. However, the incorporation of many electronic systems into a robot impairs its reliability and increases its cost. Hardwa...

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  • RAPID DETECTION METHOD OF MOLDY MAIZE KERNELS BASED ON COLOR FEATURE
    Xuan Chu, Yong Tao, Wei Wang, Ying Yuan, Mingjie Xi    Download Full Text

    In order to find the moldy maize kernels quickly, a method based on machine vision was proposed in this paper. Firstly, images of maize kernels were taken by the moldy maize sorting equipment, and three parts of every kernel, that is, moldy plaques, healthy endospermand healthy embryo, were selected fromthese images. Then a threshold was set in R channel by analyzing color features of those three ...

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  • HARDWARE ARCHITECTURE FOR REAL-TIME COMPUTATION OF IMAGE COMPONENT FEATURE DESCRIPTORS ON A FPGA
    Abdul Waheed Malik, Benny Thörnberg, Muhammad Imran, Najeem Lawal    Download Full Text

    This paper describes a hardware architecture for real-time image component labeling and the computation of image component feature descriptors. These descriptors are object related properties used to describe each image component. Embedded machine vision systems demand a robust performance and power efficiency as well as minimum area utilization, depending on the deployed application. In the propo...

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  • FROM PIXELS TO REGION: A SALIENT REGION DETECTION ALGORITHM FOR LOCATION-QUANTIFICATION IMAGE
    Mengmeng Zhang, Zhi Liu, Huan Zhou, Jian Wang    Download Full Text

    Image saliency detection has become increasingly important with the development of intelligent identification and machine vision technology. This process is essential for many image processing algorithms such as image retrieval, image segmentation, image recognition, and adaptive image compression. We propose a salient region detection algorithm for full-resolution images. This algorithm analyzes ...

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