نتایج جستجو برای: image skeleton

تعداد نتایج: 393251  

Journal: :iranian journal of medical physics 0
vahid khalilzad sharghi m.sc. in medical radiation engineering, radiation medicine dept., shahid-beheshti university, tehran, iran alireza talebpour assistant professor, radiation medicine dept., shahid-beheshti university, tehran, iran alireza kamali-asl associate professor, radiation medicine dept., shahid-beheshti university, tehran, iran seyed mahmoudreza aghamiri associate professor, radiation medicine dept., shahid-beheshti university, tehran, iran

introduction: in patients with cardiac artery disease, a myocardial perfusion scan, which is a non-invasive method, is utilized. this study is conducted to develop an advantageous software applicable to quantitative myocardial spect perfusion. material and methods: each cross-section of the left ventricle was segmented by applying a fuzzy clustering method. after obtaining the myocardial skelet...

2007
IVAN REYER

A method of identification of curvature features for shape description and recognition is suggested. The method is based on the relation between local boundary features and the skeleton structure of a plain domain. It uses a continuous boundary-skeleton model of an image. The model consists of a boundary of a polygonal figure approximating a raster image, and a skeleton of the figure. To reveal...

Journal: :IEEE Trans. Acoustics, Speech, and Signal Processing 1984
Petros Maragos Ronald W. Schafer

This paper presents the results of a study on the use of morphological set operations to represent and encode a discrete binary image by parts of its skeleton, a thinned version of the image containing complete information about its shape and size. Using morphological erosions and openings, a finite image can be uniquely decomposed into a finite number of skeleton subsets and then the image can...

2009
Jian Wu Guangming Zhang Jie Xia Zhiming Cui

Skeleton extraction is a very challenging subject, and has an important application value. Because of the ambiguity and complexity of cerebrovascular image, the skeleton gained by conventional skeleton algorithms is discontinuous. This paper proposes a cerebrovascular image skeleton extraction algorithm based on topological nodes. This algorithm first determines the important topological nodes ...

Journal: :Journal of Artificial Intelligence and Copsule Networks 2021

Image thinning is the most essential pre-processing technique that plays major role in image processing applications such as analysis and pattern recognition. It a process reduces thick binary into thin skeleton. In present paper we have used hybrid parallel algorithm to obtain skeleton of image. The result contains one pixel width which preserves topological properties retains connectivity.

Journal: :The KIPS Transactions:PartB 2007

Journal: :EURASIP J. Adv. Sig. Proc. 2005
Rémi Coudarcher Florent Duculty Jocelyn Sérot Frédéric Jurie Jean-Pierre Dérutin Michel Dhome

SKiPPER is a Skeleton-based Parallel Programming EnviRonment being developed since 1996 and running at LASMEA Laboratory, the Blaise-Pascal University, France. The main goal of the project was to demonstrate the applicability of skeleton-based parallel programming techniques to the fast prototyping of reactive vision applications. This paper deals with the special features embedded in the lates...

2010
Cem Direkoglu Rozenn Dahyot Michael Manzke

Skeleton is a thin version of the shape, which is a useful feature for shape description in image processing and computer vision. In skeleton extraction, it is an important task to compute a smooth and high quality medial function that can provide skeleton features easily and without noise. One of the main features for skeleton point detection is curvature maxima along the level-sets of the med...

Journal: :Journal of Multimedia 2010
Jian Wu Guangming Zhang Jie Xia Zhiming Cui

The ambiguity and complexity of medical cerebrovascular image makes the skeleton gained by conventional skeleton algorithm discontinuous, which is sensitive at the weak edges, with poor robustness and too many burrs. This paper proposes a cerebrovascular image skeleton extraction algorithm based on Level Set model, using Euclidean distance field and improved gradient vector flow to obtain two d...

2016

Recently, there has been a lot of interest in automatically generating descriptions for an image. Most existing language-model based approaches for this task learn to generate an image description word by word in its original word order. However, for humans, it is more natural to locate the objects and their relationships first, and then elaborate on each object, describing notable attributes. ...

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