oceanographic images obtained from environmental satellites by a wide range of sensors allow characterizing natural phenomena through different physical measurements. for instance sea surface temperature (sst) images, altimetry data and ocean color data can be used for characterizing currents and vortex structures in the ocean. the purpose of this thesis is to derive a relatively complete frame...

With the register detection problem, the color textile image segmentation algorithm based on MeanShift and the block matching algorithm based on Harris corner detection were proposed. The extended MeanShift algorithm was used to segment the textile image, and then different color regions were extracted from the segmented standard image; then the feature points were detected by Harris operator, ...

This paper aims to present a review of recent as well as classic area based image matching methods. Determination of three dimensional data from images is very important task in the machine vision field. Stereo vision has wide range of potential application areas including three dimensional reconstruction of a view. Matching algorithms play a key role in deciding correspondences between two ima...

Image matching is an important task. There are many available methods for occluded image matching, e.g. Hausdorff distance, Distance Transformi and wavelet decomposition based methods. We proposed Modified Chamfer Matching Algorithm (MCMA) [16], a new simple distance transform based image matching algorithm. Here we propose few more matching measures and compare them. Basic concepts relating to...

Color based image retrieval is an important research area in digital image processing and Color is the useful property of the image. The challenging task is to find an efficient and accurate color images similar value and some limitations between two different types of image are matching such as compressed color image and RGB color image, RGB image and HSV color image, color image and 90 degree...

By far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. However, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable to the same level of success as that of aerial imagery. In order to overcome these shortcomin...

Conceptual graphs are very useful for representing structured knowledge. However, existing formulations of fuzzy conceptual graphs are not suitable for matching images of natural scenes. This paper presents a new variation of fuzzy conceptual graphs that is more suited to image matching. This variant differentiates between a model graph that describes a known scene and an image graph which desc...

We consider the problem of matching perspective views of coplanar structures composed of line segments. Both model-to-image and image-to-image correspondence matching are given a consistent treatment. These matching scenarios generally require discovery of an eight parameter projective mapping. However, when the horizon line of the object plane can be found in the image, done here using vanishi...

by far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. however, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable to the same level of success as that of aerial imagery. in order to overcome these shortcomin...