Image Feature Matching Based on Semantic Fusion Description and Spatial Consistency

Semantic-Context-Based Augmented Descriptor for Image Feature Matching

This paper proposes an augmented version of local feature that enhances the discriminative power of the feature without affecting its invariance to image deformations. The idea is about learning local features, aiming to estimate its semantic, which is then exploited in conjunction with the bag of words paradigm to build an augmented feature descriptor. Basically, any local descriptor can be ca...

Feature Based Image Fusion

The paper proposes a method for fusion of registered multi focus images using various characteristic properties of the images as attributes for fusion. Experiment is conducted on a large set of images and the results of image fusion using different image attributes are analyzed using quality assessment algorithms to estimate how well information contained in the source images are represented in...

Content-Based Image Feature Description and Retrieving

Multiresolution Image Fusion: Phase Congruency for Spatial Consistency Assessment

Multiresolution and multispectral image fusion (pan-sharpening) requires proper assessment of spectral consistency but also spatial consistency. Many fusion methods resulting in perfect spectral consistency may leak spatial consistency and vice versa, therefore a proper assessment of both spectral and spatial consistency is required. Up to now, only a few approaches were proposed for spatial co...

Feature Extraction and Description from Image Based on Isochromatic Information

In this paper, we proposed Isochron~a tic Infornlation. which is a metllod of strl~ctllral description of color images. Isochronlatic Inforn~ation is ~lsrfill to extract line featllres wllich are color edgrs and so on. And, s11rfiic.e fea tllres which are regions and so on. too. First. we sta te Isochroma tic Inforn~ation ant1 a r~lcthotl of i t s estraction. Nest, a method of line fcatllre ext...