COMPARATIVE STUDY: THRESHOLD AND TEMPLATE MATCHING TECHNIQUE
International Research Journal of Modernization in Engineering Technology and Science · 2024
This research project conducts a comparative study of thresholding and template matching techniques in computer vision.Thresholding separates foreground and background regions based on intensity or color differences, while template matching detects and recognizes specific patterns by comparing them to known templates.The project addresses the challenges and explores the strengths and limitations of these techniques, using object-oriented methodology and popular libraries like OpenCV and Python.The comprehensive study offers valuable insights for practitioners and researchers, guiding the selection and optimization of these techniques in various applications, thus advancing the field of computer vision.