In this work, we propose a system architecture able to classify objects into models. Each object is represented by 2D color image. The fuzzy sets theory has been a fundamental base to build algorithms presented here. Each image is segmented into semantically annotated regions. In a second step, we extract structural information which are coded into graphs. At the end, we obtain a semantic graph...

This paper presents a new technique for navigating large amounts of biological image data during segmentation. Digitized microtome tissue slices of barley grains constitute the image data. Automatic zoom is dependent on mouse speed, thus enabling users to navigate an image more efficiently and with a tighter focus during segmentation. The user remains oriented and smoothly moves through the dat...

Motion in depth and/or zooming cause defocus blur. We show how the defocus blur in an image can be recovered simultaneously with affine motion. We introduce the theory, develop a solution method and demonstrate the validity of the theory and the solution by conducting experiments with real scenery.

The central aim of Super-Resolution (SR) is to generate a higher resolution image from lower resolution images. High resolution image offers a high pixel density and thereby more details about the original scene. The need for high resolution is common in computer vision applications for better performance in pattern recognition and analysis of images. High resolution is of importance in medical...

In medical imaging there is a frequent need to magnify a certain region of interest (ROI) of an image. However many modalities suffer from severe noise and traditional upscaling methods produce poor enlargement results. We present an approach based on cross-scale similarity of an image extendable to sequences using time domain information without explicit motion compensation. It combines noise ...

We propose a novel technique of automated camera calibration method to obtain internal camera parameters, which enables us to compensate the distortion of an image taken by a camera with zooming lens. The proposed method is based on image registration. First a calibration pattern is transformed onto the distorted image of the pattern using affine transformation. Then the registration of the two...

We present a new method for detecting point matches between two images that have a large disparity resulting from camera rotations and zooming changes. Our strategy is to impose various constraints such as local image correlations, spatial consistency, and global smoothness as “soft” constraints via their “confidence” before imposing the “hard” epipolar constraint by RANSAC. We also introduce a...

A new, commercially available, and inexpensive film video processor facilitates the viewing of fluorescein angiograms on video monitors. The negative film is inserted into a film carrier, read by a charge-coupled device solid state pickup device and presented as a negative or positive image on a black-and-white monitor with the help of a negative/positive conversion feature. Details of the angi...

Due to the simplicity and efficiency of panoramic image representation, it has been successfully applied to Internet applications to provide an immersive illusion within a real or synthetic environment. However, once a scene has been captured as image, the lighting condition can no longer be adjustable. As the illumination adjustment is one key capability in computer graphics, we describe in th...

Two novel problems straddling the boundary between image retrieval and data mining are formulated: for every pixel in the query image, (i) find the database image with the maximum resolution depicting the pixel and (ii) find the frequency with which it is photographed in detail. An efficient and reliable solution for both problems is proposed based on two novel techniques, the hierarchical quer...