this paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinalcysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3d spectral-domain optical coherencetomography (sd-oct) images. in particular, we focus on the spectralis sd-oct (heidelberg engineering, heidelberg, germany) system, and...

diagnosis of corneal diseases is possible by measuring and evaluation of corneal thickness in different layers. thus, the need for precise segmentation of corneal layer boundaries is inevitable. obviously, manual segmentation is time‑consuming and imprecise. in this paper, the gaussian mixture model (gmm) is used for automatic segmentation of three clinically important corneal boundaries on opt...

coronary heart disease has been one of the main threats of human health. coronary angiography is taken as the “gold standard” for the assessment of coronary artery disease. but sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiograms. vessel extraction from x-ray angiograms has been a challenging problem for several years...

The objective of our research is to develop computer methods to accurately visualize patients in 3-dimensions using advanced imaging and data acquisition devices such as conebeam CT (Computerized Tomography) and mandibular motion capture. Data from these devices were integrated for 3D patient-specific visualization, modeling and animation. We are developing generic methods that can be used with...

The tooth is an ectodermal organ that arises from a tooth germ under the regulation of reciprocal epithelial-mesenchymal interactions. Tooth morphogenesis occurs in the tooth-forming field as a result of reaction-diffusion waves of specific gene expression patterns. Here, we developed a novel mechanical ligation method for splitting tooth germs to artificially regulate the molecules that contro...

Forensic dentistry involves the identi'cation of people based on their dental records, mainly available as radiograph images. Our goal is to automate this process using image processing and pattern recognition techniques. Given a postmortem radiograph, we search a database of antemortem radiographs in order to retrieve the closest match with respect to some salient features. In this paper, we u...

barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastroesophagus reflux. if left untreated, the disease will cause distal esophagus and gastric cardiaadenocarcinoma. the malignancy risk is very high in short segment barrett’s mucosa. therefore,lesion area segmentation can improve specialist decision for treatment. in this paper, we proposeda...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Automatic plant identification tasks have witnessed increased interest from the machine learning community in recent years. This paper describes our (team IITK’s) participation in the Plant Identification Task, CLEF 2012, organized by the Combined Lab Evaluation Forum (CLEF) where the challenge was to identify plant species based on leaf images. We first categorize the different types of images...

The use of automated biometrics-based personal identification systems is an omnipresent procedure. Many technologies are no more secure, and they have certain limitations such as in cases when bodies are decomposed or burned. Dental enamel is one of the most mineralized tissues of an organism that have a post-mortem degradation resistance. In this article we describe the dental biometrics which...