IMAGE CLASSIFICATION WITH ADAPTIVE PROCESSING OF BSP IMAGE REPRESENTATION
S. KHYATHI LEKHA
, G. CHAITANYA , Y. SIVA KUMAR , S. SUSHMA , Dr. Y. MURALI MOHAN BABU
images Dataset, SVM algorithm, supervised learning, machine learning, image processing.
This paper presents an image classification approach using adaptive processing of Binary Space Partition (BSP) image representation. The method involves collecting Labelled images of buildings, flowers, grasses, and hills, followed by preprocessing steps such as resizing and Gray scaling. A BSP Tree is implemented to partition images based on pixel intensity, effectively capturing structural information. Key features, including the number of nodes, leaf nodes, maximum depth, average region size, and intensity statistics, are extracted from the BSP Tree. These features are combined into feature vectors and labelled according to their respective image classes. The dataset is then split into training and testing sets. A Support Vector Machine (SVM) classifier is trained using the feature vectors and labels, and its performance is evaluated using metrics such as accuracy, precision, recall, F1-score, and a confusion matrix. Additionally, visualizations of BSP tree partitions on sample images and the confusion matrix are provided for better interpretability. The proposed method effectively leverages BSP image representation for enhanced feature extraction and classification, demonstrating promising results in categorizing complex image classes.
"IMAGE CLASSIFICATION WITH ADAPTIVE PROCESSING OF BSP IMAGE REPRESENTATION", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.b216-b222, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504171.pdf
Volume 12
Issue 4,
April-2025
Pages : b216-b222
Paper Reg. ID: TIJER_157724
Published Paper Id: TIJER2504171
Downloads: 000346
Research Area: Science and Technology
Country: Tirupati, Andhra Pradesh, India
DOI: https://doi.org/10.56975/tijer.v12i4.157724
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
