The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications in the automatic generation of structured radiology reports. Much of the prior research work has focused on annotating images with properties such a...

In this paper we propose a methodology for normalizing the images gains in a mosaicked representation of a scene imaged by a pan-tilt camera. The normalization is based on assuming that one image has unit gain and then estimating, and filtering, the relative gains of all the other images, using the known geometry of the pan and tilt camera to find corresponding points (color values). Experiment...

PURPOSE Three-dimensional (3D) reformatted images provide a more inclusive representation of abnormalities than transverse images in cranial computed tomography (CT). The purpose of this study was to assess the value of 3D reformations for radiology residents in the interpretation of emergency cranial CTs. MATERIALS AND METHODS In total, 218 consecutive patients who underwent emergency crania...

distribution of retinal blood vessels (rbvs) in retinal images has an important role in the prevention, diagnosis, monitoring and treatment of diseases, such as diabetes, high blood pressure, or heart disease. therefore, detection of the exact location of rbvs is very important for ophthalmologists. one of the frequently used techniques for extraction of these vessels is region growing-based se...

A framework with a combination of the radial basis functions (RBFs) method and the least-squares integration method is proposed to improve the integration process from gradient to shape. The principle of the framework is described, and the performance of the proposed method is investigated by simulation. Improvement in accuracy is verified by comparing the result with the usual RBFs-based subse...

Gliomas are brain tumours with a high mortality rate. There various grades and sub-types of this tumour, the treatment procedure varies accordingly. Clinicians oncologists diagnose categorise these based on visual inspection radiology histology data. However, process can be time-consuming subjective. The computer-assisted methods help clinicians to make better faster decisions. In paper, we pro...

This paper presents a deep learning-based automated background removal technique for structural exterior image stitching. In order to establish an damage map of structure using unmanned aerial vehicle (UAV), close-up vision scanning is typically required. However, unwanted objects are often captured within the scanned digital images. Since unnecessary cause serious distortion on stitching proce...

This paper presents a webcam-based spherical coordinate conversion system using OpenCL massive parallel computing for panorama video image stitching. With multi-core architecture and its high-bandwidth data transmission rate of memory accesses, modern programmable GPU makes it possible to process multiple video images in parallel for real-time interaction. To get a panorama view of 360 degrees,...

Oblique photography technology based on UAV (unmanned aerial vehicle) provides an effective means for the rapid, real-scene 3D reconstruction of geographical objects a watershed scale. However, existing research cannot achieve automatic and high-precision water regions due to sensitivity surface patterns wind waves, reflections shore, etc. To solve this problem, novel rapid scheme in models obl...