This paper presents a solution to panoramic image stitching of two images with coinciding optical centers, but unknown focal length and radial distortion. The algorithm operates with a minimal set of corresponding points (three) which means that it is well suited for use in any RANSAC style algorithm for simultaneous estimation of geometry and outlier rejection. Compared to a previous method fo...

This paper proposes a method to integrate multiple linearpushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar scene such as large-scale paintings or aerial/satellite images that are considered to be planar. The image integration consists of two steps: stitching and Euclidean reconstruction. For the image stitching, a minimum of five pair...

Background and Objectives: Considering the importance of the radiology department, which devours most of the financial resources, efficiency and effectiveness in this department is one of the main concern of policymakers in most health care systems. The aim of this study was to investigate the efficiency and effectiveness of a radiology department before and after the implement...

Obtaining semantic labels on a large scale radiology image database (215,786 key images from 61,845 unique patients) is a prerequisite yet bottleneck to train highly effective deep convolutional neural network (CNN) models for image recognition. Nevertheless, conventional methods for collecting image labels (e.g., Google search followed by crowd-sourcing) are not applicable due to the formidabl...

The images generated by the image stitching algorithm have false shadow and poor real-time performance, are difficult to maintain visual consistency. For this reason, a panoramic based on genetic is proposed. First, oriented fast rotated brief (ORB) used quickly perform detection description of feature, then initial feature point pairs extracted according Euclidean distance for rough matching, ...

Introduction: Regular quality control of radiology devices and fixing their defects can play a crucial role in reducing absorbed dose of patients, increasing their longevity, and improving the quality of radiographic images. This study was aimed at performing quality control according to the standards and features of radiology machines in the teaching hospitals of Hormozgan Province. Methods: S...

Digital images are now the basis of visual information in medical applications. The advent of radiology which employs imaging for diagnosis generates great amount of images. Automatic retrieval of images based on features like color, shape and texture is termed Content Based Image Retrieval. The increasing dependence of modern medicine on diagnostic techniques such as radiology, computerized to...

MOTIVATION Modern anatomical and developmental studies often require high-resolution imaging of large specimens in three dimensions (3D). Confocal microscopy produces high-resolution 3D images, but is limited by a relatively small field of view compared with the size of large biological specimens. Therefore, motorized stages that move the sample are used to create a tiled scan of the whole spec...