Andere Kunden interessierten sich auch für
![Inhaltsbasierte Bildsuche mit Support Vector Machine (SVM)]( "Inhaltsbasierte Bildsuche mit Support Vector Machine (SVM)")
Inhaltsbasierte Bildsuche mit Support Vector Machine (SVM)39,90 €![Support Vector Machine Based Speech Emotion Recognition]( "Support Vector Machine Based Speech Emotion Recognition")
Support Vector Machine Based Speech Emotion Recognition39,99 €![A Novel Approach For Improvements In Content Based Image Retrieval]( "A Novel Approach For Improvements In Content Based Image Retrieval")
A Novel Approach For Improvements In Content Based Image Retrieval39,99 €![Content based Image Retrieval using Color Space Approaches]( "Content based Image Retrieval using Color Space Approaches")
Content based Image Retrieval using Color Space Approaches32,99 €![Content Based Image Retrieval System for CAD Images]( "Content Based Image Retrieval System for CAD Images")
Content Based Image Retrieval System for CAD Images32,99 €![Support Vector Machines for Pattern Classification]( "Support Vector Machines for Pattern Classification")
Support Vector Machines for Pattern Classification110,99 €![Implementation of speech Emotion Recognition SVM kernel using MATLAB]( "Implementation of speech Emotion Recognition SVM kernel using MATLAB")
Implementation of speech Emotion Recognition SVM kernel using MATLAB23,99 €
Content Based Image Retrieval (CBIR) is a developing trend in Digital Image Processing for searching and retrieving the query image from wide range of databases. Conventional content-based image retrieval (CBIR) schemes have following limitations: 1. It is slow 2. difficult to label negative examples; 3. Accuracy is poor in a single step; we propose a new two- step strategy in which first step is feature extraction using low level features (colour, shape and texture) while SVM classifier is used in the second step to handle the noisy positive examples. Thus, an efficient image retrieval algorithm based on color-correlogram for color feature extraction, wavelet transformation for extracting shape features and Gabor wavelet for texture feature extraction.