Andere Kunden interessierten sich auch für
![Image Blur Type Identification using Pattern Classification Approaches]( "Image Blur Type Identification using Pattern Classification Approaches")
Image Blur Type Identification using Pattern Classification Approaches24,99 €![Digital Image Watermarking Techniques]( "Digital Image Watermarking Techniques")
Digital Image Watermarking Techniques54,99 €![Satellite Image Classification Using K-Means and SVD Techniques]( "Satellite Image Classification Using K-Means and SVD Techniques")
Satellite Image Classification Using K-Means and SVD Techniques32,99 €![Applications of Sparse Banded Filter Matrices in Image Processing]( "Applications of Sparse Banded Filter Matrices in Image Processing")
Applications of Sparse Banded Filter Matrices in Image Processing24,99 €![Novel Algorithm For Text Based Personality Classification]( "Novel Algorithm For Text Based Personality Classification")
Novel Algorithm For Text Based Personality Classification26,99 €![Image Tamper Detection using Reversible Watermarking]( "Image Tamper Detection using Reversible Watermarking")
Image Tamper Detection using Reversible Watermarking33,99 €![Digital Image Segmentation Variational Models]( "Digital Image Segmentation Variational Models")
Digital Image Segmentation Variational Models32,99 €
This book focuses on developing certain heuristic intelligent techniques inspired by nature behaviour to perform effective classification of brain tumor images and segmentation of liver images. The book is developed for its contribution on feature sub-selection, classification and segmentation of the considered medical brain tumor and liver disease images.The simulations are conducted with the derived hybrid intelligent techniques ¿ hybrid RGSA and SVM classifier, hybrid ACO ¿ GWO and PSVM classifier, EGSO based RBFNN classifier and KSCA modeling to achieve effective solutions for brain tumor image classification and liver image segmentation and detection.