The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the ROI(Region Of Interest) using 'unseeded region growing' algorithm. Then IPE(Image Processing Engine) generates candidates within the ROI. The candidates are matched to an… (More)
This paper presents a method to apply the general image retrieval algorithm on chest radiographs using quasi-Gabor filter. The lung field is extracted to limit the region to be processed using knowledge based lung field extraction method and the rib shadow is reduced to emphasis the lung texture. .
This paper introduces a new method to analyse the image texture and to index the image database. We present a new strategy to reduce the computational time to extract image features with high retrieval accuracy. We also propose a method to reduce the image feature dimension, so any robust indexing methods can be used. By weighting the extracted image… (More)
Image segmentation by texture processing involves processing an image in sections called blocks. There are some considerable problems that can occur at the boundary of the image (or segmented object), the border between different textures in an image and any small area with high intensity against its background. This paper analyses those problems and… (More)
This paper presents a method to detect and measure the hilar region of chest radiographs. The reason why there is no suggested method to detect hilar region is that the hilar region does not have a clear shape or specific texture. We use a very simple but very effective method to detect the location and size of the hilar region of chest radiographs.
OBJECTIVES Healthcare is now routinely delivered by telecommunications-based services in all developed countries and an increasing number of developing countries. Telemedicine is used in many clinical specialities and across numerous healthcare settings, which range from mobile patient-centric applications to complex interactions amongst clinicians in… (More)