A modified K3M thinning algorithm
نویسندگان
چکیده
منابع مشابه
K3M: A universal algorithm for image skeletonization and a review of thinning techniques
This paper aims at three aspects closely related to each other: first, it presents the state of the art in the area of thinning methodologies, by giving descriptions of general ideas of the most significant algorithms with a comparison between them. Secondly, it proposes a new thinning algorithm that presents interesting properties in terms of processing quality and algorithm clarity, enriched ...
متن کاملA Modified fingerprint image thinning algorithm
Most fingerprint recognition applications rely heavily on efficient and fast image enhancement algorithms. Image thinning is a very important stage of image enhancement. A good thinning algorithm preserves the structure of the original fingerprint image, reduces the amount of data needed to process and helps improve the feature extraction accuracy and efficiency. In this paper we describe and c...
متن کاملA Hybrid Thinning Algorithm
His research interest includes medical image registration, fusion and 3D parallel thinning algorithms. Attila Kuba is the head of the Department of Applied Informatics, JJ ozsef Attila University , Szeged. His research interests are image processing, its applications in medicine, image reconstruction and discrete tomography. Thinning is a frequently used method for extracting skeletons in discr...
متن کاملA 3-Subiteration Surface-Thinning Algorithm
Thinning is an iterative layer by layer erosion for extracting skeleton. This paper presents an efficient parallel 3D thinning algorithm which produces medial surfaces. A three–subiteration strategy is proposed: the thinning operation is changed from iteration to iteration with a period of three according to the three deletion directions.
متن کاملA novel fast and reliable thinning algorithm
In this paper a new algorithm is proposed for skeletonizing binary digital images. The algorithm does not employ the conventional pixelor non-pixel-based techniques. Instead, it identifies regions of particular shapes in the image and substitutes apppropriate skeleton patterns for them. Initially, as many horizontal and vertical strips as possible are detected. These correspond to rather straig...
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 Applied Mathematics and Computer Science
سال: 2016
ISSN: 2083-8492
DOI: 10.1515/amcs-2016-0031