Authors : Bhavana Godvarthi, Paparao Nalajala, Kutikanti Chiranjeevi and Ponna Madhuri
Abstract: This present research study to detect face using threshold values and morphological processing has been used to try to replicate on a computer that which human beings are able to do effortlessly every moment of their lives, detect the presence or absence of faces in their field of vision. While it something that to a layman appears trivial to implement the necessary steps leading to the successful execution of this in an algorithm is difficult and still an unsolved problem in computer vision. In EE368, we have been given the task of using a collection of seven digital images to train and develop a system for doing just this in a competitive format. The only real limitation is that it runs under 7 min for a single file. By using this approach, we can reasonably show the fast algorithm.
Bhavana Godvarthi, Paparao Nalajala, Kutikanti Chiranjeevi and Ponna Madhuri, 2017. Implementation of RGB Based Face Detection Using Threshold Values and Morphological Processing. Journal of Engineering and Applied Sciences, 12: 9520-9527.