Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...

brain mr images tissue segmentation is one of the most important parts of the clinical diagnostic tools. pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. supervised segmentation methods lead to high accuracy but they need a large amount of labeled data, which is hard, expensive and slow to obtain. moreove...

Accurate tooth volume segmentation is a prerequisite for computer-aided dental analysis. Deep learning-based methods have achieved satisfying performances but require large quantity of data with ground truth. The publicly available limited meaning the existing can not be reproduced, evaluated and applied in clinical practice. In this paper, we establish 3D CBCT dataset CTooth+, 22 fully annotat...

OBJECTIVES This investigation describes a rapid method for the generation of finite element models of dental structures and restorations. METHODS An intact mandibular molar was digitized with a micro-CT scanner. Surface contours of enamel and dentin were fitted following tooth segmentation based on pixel density using an interactive medical image control system. Stereolithography (STL) files ...

Introduction: Appropriate definition of the distance measure between diffusion tensors has a deep impact on Diffusion Tensor Image (DTI) segmentation results. The geodesic metric is the best distance measure since it yields high-quality segmentation results. However, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. The main goal of this ...

this paper reports multidisciplinary treatment of a dental trauma case to achieve a favorable prognosis. a healthy 14-year-old girl reported avulsion of teeth 11 and 21 which had occurred three months earlier. the initial treatment consisting of replantation with a semi-rigid splint was performed in hospital. at presentation, the patient was still using the semi-rigid splint. the clinical exami...

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

most of the erythrocyte related diseases are detectable by hematology images analysis. at the first step of this analysis, segmentation and detection of blood cells are inevitable. in this study, a novel method using a line operator and watershed algorithm is rendered for erythrocyte detection and segmentation in blood smear images, as well as reducing over-segmentation in watershed algorithm t...

introduction: nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. one of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis.  materials and methods: in this work, a hybrid method based on geometric deformable models...

The subject matter of the article is X-ray images teeth during endodontic operations. goal work to compare developed method segmentation radiograph determine length root canal with electrometric and mathematical methods in practice. uses following methods: principles preparation teeth; determining working (radiological, electrometric); threshold method; bone structures on tomographic images. re...