An application of active contour models to head boundary location
نویسندگان
چکیده
Locating the boundary of a head in a head-and-shoulders image is an important problem in model based coding. An approach to this problem using adaptive contour models or 'snakes' is presented. The paper provides a tutorial introduction to the theory of snakes and shows in some detail how they may be implemented using a finite difference method. Some experimental results are presented showing snakes locating the head in a set of test images.
منابع مشابه
ناحیهبندی مرز اندوکارد بطن چپ در تصاویر تشدید مغناطیسی قلبی با شدت روشنایی غیریکنواخت
The stochastic active contour scheme (STACS) is a well-known and frequently-used approach for segmentation of the endocardium boundary in cardiac magnetic resonance (CMR) images. However, it suffers significant difficulties with image inhomogeneity due to using a region-based term based on the global Gaussian probability density functions of the innerouter regions of the active ...
متن کاملActive Contours for Head Boundary Extraction by Global and Local Energy Minimisation
Active contours are an attractive choice to extract the head boundary, for deployment within a face recognition or model-based coding scenario. However, conventional snake approaches can suffer difficulty in initialisation and parameterisation. A dual active contour configuration using dynamic programming has been developed to resolve these difficulties by using a global energy minimisation tec...
متن کاملFAST IMPLEMENTATION OF VARIATIONAL, CONTOUR−BASED OBJECT TRACKING (TueAmOR1)
Abstract : We present a fast contour−based object tracking using an active contour which clings towards the maximum of contrast alongside the object boundary. The contour motion, modeled by a time−differential equation, is driven by a gradient descent flow with a variable integration time step. The best−fit time step to reach the extrema of the functional is estimated in the least squared error...
متن کاملSegment, Track, Extract, Recognize and Convert Sign Language Videos to Voice/Text
This paper summarizes various algorithms used to design a sign language recognition system. Sign language is the language used by deaf people to communicate among themselves and with normal people. We designed a real time sign language recognition system that can recognize gestures of sign language from videos under complex backgrounds. Segmenting and tracking of non-rigid hands and head of the...
متن کاملHuman eye sclera detection and tracking using a modified time-adaptive self-organizing map
This paper investigates the use of time-adaptive self-organizing map (TASOM)-based active contour models (ACMs) for detecting the boundaries of the human eye sclera and tracking its movements in a sequence of images. The task begins with extracting the head boundary based on a skin-color model. Then the eye strip is located with an acceptable accuracy using a morphological method. Eye features ...
متن کامل