Akademik Veri Yönetim Sistemi
Poyraz Koçak Y. (Yürütücü)
Diğer Resmi Kurumlarca Desteklenen Proje, 2024 - 2024
Corners are locations where the gray value intensity changes suddenly in all directions. The neighboring pixels of each pixel are examined, and if there is a significant change between them, it is determined that this pixel is a corner. Corner detection is a standard task in digital image processing, solved using Harris, Shi-Tomasi, and Moravec Corner Detection Algorithms. Corners detection algorithms can be widely used in image processing tasks such as object detection, image recognition, and data compression. However, current corner detection algorithms are complex and time-consuming. This project will implement a quantum fast corner detection algorithm with QML, taking full advantage of quantum parallelism. For this Project, we will use the Hand-drawn Shapes (HDS) Dataset. These datasets consist of 4 shapes: Rectangle, Ellipse, Triangle, and Other. The purpose is to classify and detect the shape of the images with QML using a quantum fast corner detection algorithm.