2004 IEEE International Conference on Robotics and Biomimetics
DOI: 10.1109/robio.2004.1521892
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Sensor Fusion and Play Strategy Programming for Micro Soccer Robots

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Cited by 3 publications
(7 citation statements)
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“…The process employed to carry out the segmentation was color thresholding, which is one of the more promising object segmentation methods. Color thresholding, which is based on partitioning of an image into regions that are similar in color according to predefined criteria, can rapidly and easily extract the features of an object of interest if its inherent color is sufficiently distinguishable from the color of its surroundings [28][29][30]. Most types of structural components that would be tracked for purposes of measuring progress on a construction project (e.g., steel, concrete, and brick) have unique, easily identifiable colors.…”
Section: Object Segmentation Using Color Thresholdingmentioning
confidence: 99%
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“…The process employed to carry out the segmentation was color thresholding, which is one of the more promising object segmentation methods. Color thresholding, which is based on partitioning of an image into regions that are similar in color according to predefined criteria, can rapidly and easily extract the features of an object of interest if its inherent color is sufficiently distinguishable from the color of its surroundings [28][29][30]. Most types of structural components that would be tracked for purposes of measuring progress on a construction project (e.g., steel, concrete, and brick) have unique, easily identifiable colors.…”
Section: Object Segmentation Using Color Thresholdingmentioning
confidence: 99%
“…When using color thresholding, it is important to determine the optimal range of the threshold values to minimize segmentation errors [29,[31][32][33]. Narrowing the thresholds increases the probability that the accepted pixels are actually part of the object of interest, though it can also result in rejection of numerous actual pixels that represent that object.…”
Section: Object Segmentation Using Color Thresholdingmentioning
confidence: 99%
“…Colour threshold, which is based on dividing an image into areas, can extract combinations from a component quickly and easily, if their inherent colours are distinct enough from the colour of the surrounding environment. A large variety of structure components (such as metal, concrete and bricks) that are tracked for progress check of construction projects are independent and easily detectable by their colour [9].…”
Section: Elimination Of Unwanted Obstacles In Photosmentioning
confidence: 99%
“…The YUV colour model on the other hand comes from the RGB colour model, in which component Y represents brightness or luminosity, while the colour information is represented by U for hue and V for saturation [20][21] [22].…”
Section: A Colour Modelsmentioning
confidence: 99%
“…[15]. For en chosen by Ren work using colour ction technique [23] Gen'ichi Yasuda anny F. L. Tong et compared to RGB n when the targeted ns [22]. h can also be used.…”
Section: Object Recognitionmentioning
confidence: 99%