This paper reviews developments since 2000 in the application of machine vision to food and agriculture. The subject involves applying radiation of various wavelengths to materials in order to find more about them: of...
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This paper reviews developments since 2000 in the application of machine vision to food and agriculture. The subject involves applying radiation of various wavelengths to materials in order to find more about them: often this means looking not only at surfaces but also at internal structures. While visible light frequently provides enough useful information to make sound judgements, with the advent of dual energy X-ray (DEXA) detection, X-rays have been increasingly valuable. Perhaps the most exciting development is the 'spectral image cube' as an investigative tool. There have also been valuable developments in the use of three-dimensional methods, such as 'double Hough transforms' for the accurate delineation of crop rows, so that 'precision agriculture' can be realized, and the use of sets of visual calibration points so that robot vehicles can determine their exact locations and headings. Overall, the steady development of useful vision algorithms has been well matched by the capability of today's computers to implement them at sufficiently high speeds to make them viable.
An ice detection system is designed using an imaging sensor which has a forward field of a view direction. The proposed system solves the problem of detecting the Black Ice on various surfaces using a depth imaging se...
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ISBN:
(纸本)9781509055388
An ice detection system is designed using an imaging sensor which has a forward field of a view direction. The proposed system solves the problem of detecting the Black Ice on various surfaces using a depth imaging sensor based on Kinect device. In some places where ice cannot be seen easily from a distance, especially in low visibility, by a human eye, it would be highly dangerous and causes slip. The designed system can detect the forming ice at a distance from 82cm up to 1.52m from the camera. Ice detection system has been tested in five different backgrounds: wood, glass, ceramic, plastic and concrete, and indeed it showed high proficiency.
In this work, we dealt with topics related to computer vision, with particular focus on solutions aimed at ensuring computational efficiency. One of the algorithms often used in computer vision is Histogram of Oriente...
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ISBN:
(纸本)9798350375701;9788363578268
In this work, we dealt with topics related to computer vision, with particular focus on solutions aimed at ensuring computational efficiency. One of the algorithms often used in computer vision is Histogram of Oriented Gradients (HoG), often used in object detection in video sequences. In many applications, this algorithm should be able to run in real time, simultaneously on devices with low computing power. In this work, we attempted to implement one of its key stages at the level of digital specialized circuits (also suitable for integrated circuit realization). At this stage, it is determined which of the bins the vector calculated on the basis of previously calculated gradients for the x and y coordinates belongs to. We presented solutions for different numbers of bins, but also solutions that can be considered more general, i.e. allowing to change the number of bins.
An ice detection system is designed using an imaging sensor which has a forward field of a view direction. The proposed system solves the problem of detecting the Black Ice on various surfaces using a depth imaging se...
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An ice detection system is designed using an imaging sensor which has a forward field of a view direction. The proposed system solves the problem of detecting the Black Ice on various surfaces using a depth imaging sensor based on Kinect device. In some places where ice cannot be seen easily from a distance, especially in low visibility, by a human eye, it would be highly dangerous and causes slip. The designed system can detect the forming ice at a distance from 82cm up to 1.52m from the camera. Ice detection system has been tested in five different backgrounds: wood, glass, ceramic, plastic and concrete, and indeed it showed high proficiency.
Gestures are used in day to day life like nodding and waving without us being aware of them. It has become an important part in the communication among the humans. In the recent years new methods of Human Computer Int...
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ISBN:
(纸本)9781467357593
Gestures are used in day to day life like nodding and waving without us being aware of them. It has become an important part in the communication among the humans. In the recent years new methods of Human Computer Interaction (HCI) are being developed. Some of them are based on interaction with machines through hand, head, facial expressions, voice, touch and many are still the current topic of research. However relying on just one of them reduces the accuracy of the whole HCI and is also limiting the options available to users. The objective of this paper is thus to use two of the important modes of interaction - hand and head to control any application running on computer using Computer vision algorithms. From input video stream, hand is segmented and the corresponding gesture is being recognized based on the shape and pattern of movement of hand. For head gesture recognition, head is first detected and then optical flow method is used to get the movement of head which is then recognized by finite state automata. Using the user interface of the software, an operator can control any interactive application (say VLC player, Image browser etc) using hand and head gestures which in turn are automatically mapped to the mouse and keyboard events through Windows API. The proposed multimodal approach is particularly useful to communicate with computers and other electronic appliances from a distance where mouse and keyboard are not convenient to work with.
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