Content-Based Image Classification
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Content-Based Image Classification
Efficient Machine Learning Using Robust Feature Extraction Techniques
Das, Rik
Taylor & Francis Ltd
10/2024
180
Mole
9780367639280
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Introduction to Content Based Image Classification. 2. A Review of Hand-crafted Feature Extraction Techniques for Content Based Image Classification. 3. Content Based Feature Extraction: Color Averaging. 4. Content Based Feature Extraction: Image Binarization. 5. Content Based Feature Extraction: Image Transforms. 6. Content Based Feature Extraction: Morphological Operators. 7. Content Based Feature Extraction: Texture Components. 8. Fusion Based Classification: A Comparison of Early Fusion and Late Fusion Architecture for Content Based Features. 9. Future Directions: A Journey from Handcrafted Techniques to Representation Learning. 10. WEKA: Beginners' Tutorial
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Object recognition;cognitive computing;Pattern Recognition;Image Binarization Techniques;KNN Classifier;Machine learning;Feature Vector;Content-based image classification;Gray Level Co-occurrence Matrix;Image processing;RGB Color Space;Open access data mining;Feature Extraction;Handcrafted techniques;Feature Extraction Techniques;Walsh Transform;Existing Techniques;Feature Vector Extraction;Feature Vector Size;Threshold Selection;GLCM Method;Public Datasets;Red Component;Precision Values;DST;Lower MR;Partial Coefficients;Average Misclassification Rate;End End End;DCT.;Top Hat Transform;End End;Minimum MR;Code Vector
1. Introduction to Content Based Image Classification. 2. A Review of Hand-crafted Feature Extraction Techniques for Content Based Image Classification. 3. Content Based Feature Extraction: Color Averaging. 4. Content Based Feature Extraction: Image Binarization. 5. Content Based Feature Extraction: Image Transforms. 6. Content Based Feature Extraction: Morphological Operators. 7. Content Based Feature Extraction: Texture Components. 8. Fusion Based Classification: A Comparison of Early Fusion and Late Fusion Architecture for Content Based Features. 9. Future Directions: A Journey from Handcrafted Techniques to Representation Learning. 10. WEKA: Beginners' Tutorial
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Object recognition;cognitive computing;Pattern Recognition;Image Binarization Techniques;KNN Classifier;Machine learning;Feature Vector;Content-based image classification;Gray Level Co-occurrence Matrix;Image processing;RGB Color Space;Open access data mining;Feature Extraction;Handcrafted techniques;Feature Extraction Techniques;Walsh Transform;Existing Techniques;Feature Vector Extraction;Feature Vector Size;Threshold Selection;GLCM Method;Public Datasets;Red Component;Precision Values;DST;Lower MR;Partial Coefficients;Average Misclassification Rate;End End End;DCT.;Top Hat Transform;End End;Minimum MR;Code Vector
