Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …

Over the past decades, facial expression recognition (FER) has become an interesting
research area and achieved substantial progress in computer vision. FER is to detect human …

Abstract Background/Objectives: Image segmentation, a crucial and an essential step in
image processing, determines the success of higher level of image processing. In this paper …

Facial emotion recognition (FER) represents a significant outcome of the rapid
advancements in artificial intelligence (AI) technology. In today's digital era, the ability to …

Security of the online transmission of personal information is of utmost importance these
days. Integrating face detection and recognition with steganography techniques improves …

The objective of this review article is to study the spatio-temporal approaches for addressing
the key issues such as multi-view, cluttering, jitter and occlusion in recognition of human …

Diabetic Retinopathy (DR) is a rapidly growing consequence of diabetes mellitus globally.
DR causes lesions that can cause blindness if untreated. The significant advancement in …

Image segmentation is the most important operation in image processing that changes the
representation of an image to be useful in much computer vision applications. During the …

This paper presents a study on end-to-end implementation of a 2D face analysis project
leveraging computer vision technology. Face analysis is a critical application of computer …

Objectives: Numerous techniques have been proposed in past for skin colour modelling and
some out of these are utilized in human detection problem. This paper proposes a novel …