bstract. Image thresholding is a very common image processing peration, since almost all image processing schemes need some ort of separation of the pixels into different classes. In order to etermine the thresholds, most methods analyze the histogram of he image. The optimal thresholds are often found by either minimizng or maximizing an objective function with respect to the values of he thre...

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...

In this work we present an automatic algorithm for detection of mycobacterium tuberculosis from stained sputum smear images applying a novel method of tubeness filtering in conjunction with Otsu thresholding and connected component analysis. This eliminates human effort and measurement error from the detection of the bacteria, which normally requires a lab technician or pathologist to load a gl...

Image segmentation in the medical domain is a challenging field owing to poor resolution and limited contrast. The predominantly used conventional segmentation techniques and the thresholding methods suffer from limitations because of heavy dependence on user interactions. Uncertainties prevalent in an image cannot be captured by these techniques. The performance further deteriorates when the i...

In the process of material composition detection, image analysis is an inevitable problem. Multilevel thresholding based on the OTSU method is one of the most popular image segmentation techniques. The increase of the number of thresholds increases with the exponential increase in computing time. In order to overcome this problem, this paper proposes an artificial bee colony algorithm with a tw...

This study is focused on histogram thresholding methods automatically. In computer vision, Image segmentation is an initial and vital step in a series of processes aimed at overall image understanding. In other words Segmentation refers to the process of partitioning a digital image into the multiple segments (set of pixels as known as super pixels). Two very simple image segmentation technique...

Image segmentation is often used to distinguish the foreground from the background. This paper proposes a novel method of image thresholding using the optimal histogram segmentation by the cluster organization based on the similarity between adjacent clusters. Since this method is not based on the minimization of a function, the problem of selecting the threshold at the local minima is avoided....

AIMS The aim of this study was to evaluate seven methods for quantifying myocardial oedema [2 standard deviation (SD), 3 SD, 5 SD, full width at half maximum (FWHM), Otsu method, manual thresholding, and manual contouring] from T2-weighted short tau inversion recovery (T2w STIR) and also to reassess these same seven methods for quantifying acute infarct size following ST-segment myocardial infa...