Image features are useful extractable attributes of images. Examples of image features are the histogram and the symmetry of a region of interest. Histograms are considered a low-level feature, while geometric descriptors as symmetry or orientation of regions of interest provide examples of high-level features. Some features, such as histograms and texture features, are statistical in nature, while others, such as the Euler number or boundary descriptors of regions, fall in the geometric domain. Geometric features are key in providing structural descriptors of images. Structural descriptions of images are of significant interest. They ar
Discriminating computer generated graphics from photographic images is a challenging problem of digi...
Abstract — Feature extraction is a process of extracting the common features from the image so that ...
(c) 1971 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
. Feature extraction is an important part of object model acquisition and object recognition systems...
Processing of image sequences is a very actual trend now. This is confirmed with a vast amount of re...
Computer imaging is a complex multi-discipline science with broad application and well developed the...
In this thesis the development of a novel descriptor for boundary images represented in a chain code...
The first step for every machine learning algorithm in a computer vision problem is to extract featu...
The most visible feature that is more important to an image is the shape. Shape representation is a ...
The field of image processing addresses handling and analysis of images for many purposes using a la...
This book provides readers with a selection of high-quality chapters that cover both theoretical con...
After segmentation specific features { , representing the characteristics and properties of the segm...
The rapid growth of image retrieval has provided an efficient Content-Based Image Retrieval CBIR sys...
Image recognition of line drawing involves feature extraction and feature comparison; works on the e...
Visual Category Recognition aims at fast classification of objects, as well as scenery, action, and ...
Discriminating computer generated graphics from photographic images is a challenging problem of digi...
Abstract — Feature extraction is a process of extracting the common features from the image so that ...
(c) 1971 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
. Feature extraction is an important part of object model acquisition and object recognition systems...
Processing of image sequences is a very actual trend now. This is confirmed with a vast amount of re...
Computer imaging is a complex multi-discipline science with broad application and well developed the...
In this thesis the development of a novel descriptor for boundary images represented in a chain code...
The first step for every machine learning algorithm in a computer vision problem is to extract featu...
The most visible feature that is more important to an image is the shape. Shape representation is a ...
The field of image processing addresses handling and analysis of images for many purposes using a la...
This book provides readers with a selection of high-quality chapters that cover both theoretical con...
After segmentation specific features { , representing the characteristics and properties of the segm...
The rapid growth of image retrieval has provided an efficient Content-Based Image Retrieval CBIR sys...
Image recognition of line drawing involves feature extraction and feature comparison; works on the e...
Visual Category Recognition aims at fast classification of objects, as well as scenery, action, and ...
Discriminating computer generated graphics from photographic images is a challenging problem of digi...
Abstract — Feature extraction is a process of extracting the common features from the image so that ...
(c) 1971 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...