International Journal of Engineering، جلد ۳۴، شماره ۵، صفحات ۱۲۲۵-۱۲۳۲
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عنوان انگلیسی Fast Color Straight Line Pattern Recognition in an Object Using High Speed Self Learning Devices
چکیده انگلیسی مقاله Most of the man-made objects are having some straight lines with colors. A very high-speed object recognition method using color straight line patterns is carried out using a novel self-learning device (RKD - Rasiq Krishnakumar Device). Instead of that Artificial Neural Networks (ANN), RKD based networks are used for different steps in this pattern classification. The color and straight-line features are extracted by using high-speed color segmentation and fast efficient straight-line segment extraction methods using the RKD based systems. The training and the testing algorithms of the pattern classification are using RKD-based processing. The fast color features extraction method uses an array of RKD-based devices and the fast efficient straight-line segment extraction method employs an array of processing elements and a main control unit. Some fusion devices are used for a straight line with colors features. The area of interest and the area of line segments of a particular object are other features for improving the accuracy of object classification.
کلیدواژه‌های انگلیسی مقاله Rasiq Krishnakumar Algorithm,Rasiq Krishnakumar Device,Fast Object Recognition,Color Straight Line Pattern
نویسندگان مقاله S. M. Rasiq |
School of Technology and Applied Sciences, Mahatma Gandhi University Regional Centre, Edappally, Kochi, India

S. Krishnakumar |
School of Technology and Applied Sciences, Mahatma Gandhi University Regional Centre, Edappally, Kochi, India

نشانی اینترنتی https://www.ije.ir/article_129350_6658cb64f3cd284eab0f3f835722f9e6.pdf
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