CBCT image based segmentation method for tooth pulp cavity region extraction
نویسندگان
چکیده
منابع مشابه
A Fast Texture Feature Extraction Method for Region- based Image Segmentation
Region-based image segmentation is one popular approach to image segmentation of generic images. In these methods, an image is partitioned into connected regions by grouping neighboring pixels of similar features, and adjacent regions are then merged with respect to the similarities between the features in these regions. To achieve fine-grain segmentation at the pixel level, we must be able to ...
متن کاملReduced-Reference Image Quality Assessment based on saliency region extraction
In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...
متن کاملContourlet-Based Edge Extraction for Image Registration
Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...
متن کاملRegion-based Colour Image Segmentation
The paper presents a method for colour image segmentation based on a region growing procedure. The algorithm works without a priori knowledge about the number of regions in the image. The similarity of colour pixels is modelled by distance in different colour spaces (RGB, YUV and IHS). Additional median filtering and small region elimination procedures are investigated. The operation of algorit...
متن کاملA novel segmentation method of medical CBCT image in liver organ based on Bayesian network
Introduction: This paper proposed a kind of segmentation method for medical CBCT image in liver organ based on Bayesian network. Methods: Taking CBCT medical image of liver organ as a focus of medical image segmentation and to segment the area we are interested in with noise elimination and image enhancement. In order to show multiple image information including the liver organ CBCT image color...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Dentomaxillofacial Radiology
سال: 2019
ISSN: 0250-832X,1476-542X
DOI: 10.1259/dmfr.20180236