GitHub

preethamam/Image-Color-Segmentation

Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
Frontiers

Adaptive low-light image enhancement using Interval-Valued Intuitionistic Fuzzy Set optimized by Reptile Search Algorithm

1 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India 2 School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India ...
IEEE

Image Semantic Segmentation Algorithm Based on U-Net

Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
Frontiers

An adaptive fusion of composite attention convolutional neural network for polyp image segmentation

Background: Accurate localization and segmentation of polyp lesions in colonoscopic images are crucial for the early diagnosis of colorectal cancer and treatment planning. However, endoscopic imaging ...
IEEE

A Reliable Segmentation Model for Limited Medical Image Datasets With Attention Mechanism and Kolmogorov–Arnold Networks

Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...