international conference on "image classification using data mining techniques"
TRANSCRIPT
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“IMAGE CLASSIFICATION USING DATA
MINING TECHNIQUES”
PRESENTED BY :
Er. SANTOSH KUMAR DASH | MTECH CSE, Utkal UniversityASE| Tata Consultancy Services Limited
INTERNATIONAL CONFERENCEOn
“Innovative Research in Computer Science, E-Learning, Information & Communication Technology”
(CSIT– 2016)
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Contents Introduction Motivation Objective Proposed Methodology Experimental Results Conclusion and Future Work
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Introduction Experiments are performed on three different images
such as: medical image, satellite image and scenery image.
Medical Image Satellite Image Scenery Image
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Objective Feature extraction from various images.
Region of Interest calculation.
Application of Data Mining Techniques for classification.
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Proposed Methodology
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Proposed Methodology
Normal Image Noisy Image Filtered Image
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Proposed Methodology
Normal Image Noisy Image Filtered Image
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Proposed Methodology
Normal Image Noisy Image Filtered Image
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Proposed Methodology Classifiers used
Decision Tree(J48)
Naïve Bayes
Random Forest
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Experimental Results For cancer image- Random Forest algorithm gives better
accuracy.
For scenery image-J48 gives better accuracy
For satellite image- Random forest is better for normal image and Naïve Bayes is better for noisy image.
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Conclusion and future work Decision tree, Naïve Byes and random forest data mining
techniques are applied to classify the region of interest.
Filtered image enhances the classification accuracy
Filtering options with large scale images are to be considered in future.
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Thank YouAny Questions?