Grey-level hit-or-miss transforms—Part I: Unified theory
نویسندگان
چکیده
منابع مشابه
Grey-level hit-or-miss transforms - Part I: Unified theory
The hit-or-miss transform (HMT) is a fundamental operation on binary images, widely used since 40 years. As it is not increasing, its extension to grey-level images is not straightforward, and very few authors have considered it. Moreover, despite its potential usefulness, very few applications of the grey-level HMT have been proposed until now. Part I of this paper, developed hereafter, is dev...
متن کاملGrey-level hit-or-miss transforms - part II: Application to angiographic image processing
The hit-or-miss transform (HMT) is a fundamental operation on binary images, widely used since 40 years. As it is not increasing, its extension to grey-level images is not straightforward, and very few authors have considered it. Moreover, despite its potential usefulness, very few applications of the grey-level HMT have been proposed until now. Part I of this paper [B. Naegel, N. Passat, C. Ro...
متن کاملThe TARGET trial: hit or miss?
Over the past 8 years large-scale, placebo-controlled trials have established the efficacy of intravenous platelet glycoprotein (GP) IIb/IIIa inhibitors at reducing the 30-day composite of death, myocardial infarction, and urgent target vessel revascularization associated with percutaneous coronary angioplasty, atherectomy, and stent placement. Using abciximab, tirofiban, or eptifibatide, each ...
متن کاملGray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries
In this paper we propose a fully automatic algorithm for coronary artery extraction from X-ray data (3DCT scan, 64 detectors). Growing and thresholding methods, in their most general form, are not su cient to extract only the whole coronary arteries, because of the properties of these images [1]. Finding appropriate methods is known to be a challenging problem because of the data imperfections ...
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: Pattern Recognition
سال: 2007
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2006.06.004