Optimized Image Thresholding using Multilevel Quantum SystemsSpeaker: Siddhartha Bhattacharyya – Kolkat, India
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
AbstractSegmentation is a popular technique whose aim is to segregate a set of data points into groups. Thresholding remains the simplest method for image segmentation. The determination of the appropriate threshold levels in an image is a challenging proposition in the computer vision community. Different metaheuristics are widely used for solving complex optimization problems. In this lecture, the use of the multilevel quantum logic and metaheuristic techniques is explored to design multilevel quantum inspired metaheuristics, which can be applied to optimize the thresholding process.
About this LectureNumber of Slides: 45
Duration: 90 minutes
Languages Available: English
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.