IMAGE SEGMENTATION USING DEEP LEARNING
Shalini K S
, Korivi Sravani , Pallavi G , Vishnavi S , Chrispin Jiji
Image Segmentation, Deep Learning, Edge Detection, Medical Imaging,
Image segmentation is a critical process the goal of computer vision is to divide an image into separate and meaningful regions
for further analysis. This essay examines a variety of image segmentation techniques, ranging from traditional methods, such
as: thresholding, edge detection, and region-based approaches, to advanced machine learning and deep learning-based models.
Conventional techniques are computationally effective.but often struggle with complex, real-world scenarios. In contrast,
modern deep learning techniques, including Fully Convolutional Networks (FCNs), U-Net, and Mask R-CNN, leverage
hierarchical feature extraction and large datasets to achieve state-of-the-art performance.
We present a comparative analysis of these approaches, highlighting their strengths, limitations, and application-specific
suitability. Additionally, emerging methods, such as transformer-based architectures, are discussed, showcasing their potential
to address current challenges in image segmentation. This study provides a comprehensive overview of the field, offering
insights into the evolution of segmentation techniques and Finding promising future directions.
"IMAGE SEGMENTATION USING DEEP LEARNING ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a429-a433, December-2024, Available :https://ijsdr.org/papers/IJSDR2412046.pdf
Volume 9
Issue 12,
December-2024
Pages : a429-a433
Paper Reg. ID: IJSDR_300058
Published Paper Id: IJSDR2412046
Downloads: 000347180
Research Area: Science and Technology
Country: Bangalore, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
