A Review on Various Image Segmentation Techniques
International Research Journal of Modernization in Engineering Technology and Science · 2024
The process of image segmentation is a vital aspect of computer vision and image processing as it involves splitting digital images into distinct regions for analysis and understanding.This examination thoroughly explores various techniques for segmenting images, elucidating their principles, methodologies, applications, and comparative efficacy.To begin, fundamental concepts in image segmentation are outlined, encompassing thresholding, region-based segmentation, edge-based methods, and clustering algorithms.Furthermore, sophisticated segmentation approaches like graph-based techniques, watershed transformation, active contours, and deep learning-driven segmentation networks are deliberated.These innovative methods leverage complex algorithms and neural network architectures to achieve state-of-the-art performance in intricate segmentation tasks across diverse domains.The discussion also covers emerging trends, challenges, and future directions in image segmentation research, highlighting opportunities for innovation and progress in this critical aspect of computer vision and image analysis.