Features are the description of the image contents which could be corner, blob or edge. Scale-Invariant Feature Transform (SIFT) extraction and description patent algorithm used widely in computer vision, it is fragmented to four main stages. This paper introduces image feature extraction using SIFT and chooses the most descriptive features among them by blurring image using Gaussian function and implementing Otsu segmentation algorithm on image, then applying Scale-Invariant Feature Transform feature extraction algorithm on segmented portions. On the other hand the SIFT feature extraction algorithm preceded by gray image normalization and binary thresholding as another preprocessing step. SIFT is a strong algorithm and gives more accurate results but when system require increasing speed, it is better to select distinctive features and use them in description process. The experimental results show clearly reduction of features extracted using SIFT algorithm on segmented parts and the algorithm of feature extraction from normalized binary image gives better results for feature localization as shown in experimental images.
Image Feature Extraction and Selection
SIFT
Otsu
Feature selection
Publication Date
Sat Dec 30 2023
Journal Name
Traitement Du Signal
Publication Date
Mon Jan 20 2020
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
ON-Line MRI Image Selection and Tumor Classification using Artificial Neural Network
Magnetic Resonance Imaging
Neural Network
Dsictete Wavelet Transform
Feature Extraction
Gabor Filter.
When soft tissue planning is important, usually, the Magnetic Resonance Imaging (MRI) is a medical imaging technique of selection. In this work, we show a modern method for automated diagnosis depending on a magnetic resonance images classification of the MRI. The presented technique has two main stages; features extraction and classification. We obtained the features corresponding to MRI images implementing Discrete Wavelet Transformation (DWT), inverse and forward, and textural properties, like rotation invariant texture features based on Gabor filtering, and evaluate the meaning of every
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(1)
Publication Date
Sun Jan 01 2023
Journal Name
Ieee Access
Publication Date
Thu Jul 01 2021
Journal Name
Computers & Electrical Engineering
(25)
(20)
Publication Date
Tue Dec 07 2021
Journal Name
2021 14th International Conference On Developments In Esystems Engineering (dese)
(5)
(5)
Publication Date
Sun Jan 01 2017
Journal Name
Iec2017 Proceedings Book
Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter
Feature Extraction
Retrieval Information
Classification
Singular Value
Decomposition
Dimension Reduction
TF-IDF.
(2)
Publication Date
Wed Apr 20 2022
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
(1)
(1)
Publication Date
Mon Aug 01 2016
Journal Name
2016 38th Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc)
(11)
(9)
Publication Date
Mon Dec 01 2014
Journal Name
2014 Ieee Student Conference On Research And Development
(9)
(9)
Publication Date
Thu Oct 01 2020
Journal Name
Ieee Transactions On Artificial Intelligence
(22)
(19)