An Analysis of Image Enhancement Techniques for Dental X-ray Image Interpretation
نویسندگان
چکیده
منابع مشابه
Do "Image Enhancement" Functions Really Enhance X-Ray Image Interpretation?
State-of-the art x-ray screening systems offer a variety of socalled “image enhancement” functions (IEFs). Examples are color inversion, edge-enhancement, organic only, metal only etc. IEFs are often promoted because they would bring out detail that is obscured or highlight certain features, such as for example organic content. In this study, we investigated the usefulness of IEFs for cabin bag...
متن کاملDental X-ray Image Segmentation
Law enforcement agencies have been exploiting biometric identifiers for decades as key tools in forensic identification. With the evolution in information technology and the huge volume of cases that need to be investigated by forensic specialists, it has become important to automate forensic identification systems. While, ante mortem (AM) identification, that is identification prior to death, ...
متن کاملDental X-ray Image Enhancement Based on Human Visual System and Local Image Statistics
An X-ray/Clincal medical image generally suffers from low contrast quality and degradations which vary from one region to another. Extraction of features in medical science and image processing is a matter of study and research. X-rays contain high redundancy, as far as background information is considered and in a way govern local image statistics. Contrast enhancement techniques based on visu...
متن کاملImage Quality Enhancement in X-Ray Microscopy
The goal of this work is to develop digital image processing tools for improving the quality of the images provided by the Göttingen transmission X-ray microscope at BESSY [1, 2]. We first present a method for correcting the inhomogeneous illumination. Then, we present results of image restoration techniques applied to X-ray microscopy images of test objects and of biological specimens containi...
متن کاملfuzzy-based medical x-ray image classification
in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...
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: International Journal of Machine Learning and Computing
سال: 2012
ISSN: 2010-3700
DOI: 10.7763/ijmlc.2012.v2.133