CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision

عنوان مقاله: An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision
شناسه ملی مقاله: JR_IJMAC-12-1_003
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:

Hamid Yazdani - Department of Mathematics, Payame Noor University (PNU), P.O. Box ۱۹۳۹۵-۳۶۹۷, Tehran, Iran
Ali Reza Shojaeifard - Department of Mathematics, Faculty of Sciences, Imam Hossein Comprehensive University, Tehran, Iran.

خلاصه مقاله:
Tensors as vector fields structures and manifolds as great geometrical-topological structures have many applications in the fields of big data analysis. Types of norms, metrics and scalable structures have been defined from various aspects. Nowadays, the hybrid methods between tensorial algorithms and manifold learning (MaL) methods have been attracted some attention. In image and signal processing, from image recovery to face recognition, these methods have appeared very excellent. According to our experiments by MATLAB R۲۰۲۱a, the hybrid algorithms are powerful other than algorithms based on the efficient popular parameters.

کلمات کلیدی:
Image recovery, Image recognition, manifold Learning, Tensors, Tensor completion

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1589922/