Atherosclerosis is a generalized disease causes thickening of arterial wall which leads to cardio-vascular disease. Automatic algorithm for measurement of Intima Media Thickness (IMT) in B-mode in ultrasound video frames is developed. Different types of despeckling filters are used to reduce granular noise and evaluated. As well as textural features are extracted from original and despeckled im...

Liver cirrhosis is considered as one of the most common diseases in healthcare. The widely accepted technology for the diagnosis of liver cirrhosis is via ultrasound imaging. This paper presents a technique for detecting the cirrhosis of liver through ultrasound images. The region of interest has been selected from these ultrasound images and endorsed from a radiologist. The identification of l...

Adam Miranowicz, 2, 3 Şahin Kaya Özdemir, 3, 4 Jǐŕı Bajer, Masato Koashi, 3, 4 and Nobuyuki Imoto 3, 4 Institute of Physics, Adam Mickiewicz University, 61-614 Poznań, Poland SORST Research Team for Interacting Carrier Electronics, 4-1-8 Honmachi, Kawaguchi, Saitama 331-0012, Japan Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka 560-8531, Japan CREST Research Team for ...

Diabetic Retinopathy (DR) harm retinal blood vessels in the eye causing visual deficiency. The appearance and structure of blood vessels in retinal images play an essential part in the diagnoses of an eye sicknesses. We proposed a less computational unsupervised automated technique with promising results for detection of retinal vasculature by using morphological hessian based approach and regi...

Image segmentation is one of the important tasks in computer vision and image processing. Thresholding is a simple but most effective technique in segmentation. It based on classify image pixels into object and background depended on the relation between the gray level value of the pixels and the threshold. Otsu technique is a robust and fast thresholding techniques for most real world images w...

The paper addresses the problem of image segmentation in 2D domain by means of maximizing rough entropy measure in granular computing setting. Proposed 2D multilevel rough entropy thresholding extends multilevel thresholding scheme into 2D image thresholding. Proposed thresholding algorithm 2D MRET has been compared with standard multilevel thresholding based on Otsu method. Experimental result...

This paper presents a new method for unsupervised urban area extraction from SAR imagery. The image segmentation method combines variogram texture feature extraction with OTSU threshold segmentation method, to obtain the result as good as traditional classical algorithm and have much higher computational efficiency. TerraSAR-X image is used to validate the proposed method, and experimental resu...

The paper presents two techniques of image segmentation to facilitate image edge detection, that can be used further by image analysis based on the extracted features of image edges, Canny edge detection and Otsu thresholding are examples of the proposed techniques, the paper evaluates the effectiveness of the two methods with a variety of images, testing their suitability to natural as well as...

Renal biopsy image segmentation is an important step in computer-aided diagnosis. Among all available segmentation techniques, automatic thresholding methods are widely employed because of their advantages of simple implementation and time-saving. The Otsu method is one of these thresholding methods and is frequently applied in various fields. The two-dimensional (2-D) Otsu method is superior t...