Quad-pixel edge detection using neural network
سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 382
فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JACR-2-2_004
تاریخ نمایه سازی: 16 شهریور 1395
چکیده مقاله:
One of the most fundamental features of digital image and the basic steps inimage processing, analysis, pattern recognition and computer vision is the edge ofan image where the preciseness and reliability of its results will affect directly onthe comprehension machine system made objective world. Several edge detectorshave been developed in the past decades, although no single edge detectors havebeen developed satisfactorily enough for all application. In this paper, a new edgedetection technique was proposed based on the BP neural network. Here, the edgepatterns of a quad-pixel in binary images were classified into 16 possible types ofvisual patterns. In the following, after training the pre-defined edge patterns, theBP neural network was applied to correspond any type of edges with their relatedvisual patterns. Compared with traditional edge detection techniques, the resultsdemonstrate that the new proposed technique, improved the computations mass andmathematical complexity, turns out better.
کلیدواژه ها:
نویسندگان
Hamed Mehrara
Young Researchers club,Science and Research Branch, Islamic Azad University,Tehran,Iran
Mohammad Zahedinejad
Young Researchers club,Science and Research Branch, Islamic Azad University,Tehran,Iran