International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Image Processing Using Machine Learning

Author(s) Aishwarya Patil, Dr. Priyanka Singh
Country India
Abstract Image in the field of image processing we have seen
great growth with the addition of machine learning which in
turn presents more efficient, accurate, and automated
solutions for many fields. In past we saw that traditional
image processing had issues with noise, low contrast, and
manual feature extraction which machine learning has been
very successful in solving. This work we present an overview
of today’s image processing which we see improved by
machine learning algorithms especially in the case of
Convolutional Neural Networks for feature extraction, image
segmentation, classification and object detection. We report
on our studies which used VOC2007, ImageNet, and CIFAR100
datasets to prove that machine learning based methods we
see perform very well with an accuracy of 98.4% for image
segmentation, 98.7% for classification, and 98.6% for target
detection. TI mage processing has seen great transformation
with the introduction of machine learning which also brings to
the table better, more accurate.
Keywords Image Processing, Machine Learning, Deep Learning, CNN, Image Segmentation, Classification, Object Detection, Feature Extraction, Preprocessing, Model Training, Transfer Learning, Medical Imaging, Diabetic Retinopathy Detection, Autonomous Driving, Data Augmentation, Performance Evaluation, Accuracy, Precision, Recall, Robustness, Real-time Processing, Computational Requirements, Model Interpretability, Ethical Issues, Dataset Challenges, AI, SVM, KNN, GANs.
Field Computer Applications
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-20
DOI https://doi.org/10.71097/IJSAT.v16.i2.6270
Short DOI https://doi.org/g9qxd8

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