In this paper, we propose a method for applying a probabilistic statistical shape model (SSM) to automatic segmentation. We use a point-represented SSM which is based on correspondence probabilities instead of point-to-point correspondences as commonly used. In order to combine the a priori knowledge of the SSM with the image information during the segmentation, we employ a deformable surface w...

In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn the skin color information from each test image in real-time and generate the specific skin model (SSM) for that image. Consequently, the SSM can adapt to a certain image, in which the skin colors may vary from one reg...

Soft Systems Methodology (SSM) was devised by Checkland (1981) and elaborated by Checkland & Scholes (1990) to provide a tool for investigating an unstructured problem situation. SSM is not a system design tool, but a tool for system requirements investigation. Unlike systems analysis tools, such as entity-relationship modelling or data-flow diagrams, which allow the designer to model how the s...

UNLABELLED SiGN-SSM is an open-source gene network estimation software able to run in parallel on PCs and massively parallel supercomputers. The software estimates a state space model (SSM), that is a statistical dynamic model suitable for analyzing short time and/or replicated time series gene expression profiles. SiGN-SSM implements a novel parameter constraint effective to stabilize the esti...

It is a short introduction to SSM based on two primary literature's, First some background for SSM is given followed by a description of SSM as described in (SSM, 81) and the revised SSM as described in (SSM, 90). SSM and the construction of Information Systems (IS) is briefly mentioned and, as a summary, a table of key concepts and techniques/guidelines is presented. Finally, the philosophy of...

OBJECTIVES When analyzing shapes and shape variabilities, the first step is bringing those shapes into correspondence. This is a fundamental problem even when solved by manually determining exact correspondences such as landmarks. We developed a method to represent a mean shape and a variability model for a training data set based on probabilistic correspondence computed between the observation...

Checkland has said that the process of doing Soft Systems Methodology (SSM) provides the means by which an organisation can define itself through learning what it is which characterises the organisation. (Checkland and Scholes, 1990, 311-312) If the process of doing SSM is a learning system then in SSM an organisation has a means of instituting organisational learning. Respected authors (specif...

RATIONALE AND OBJECTIVES An atlas-based automated liver segmentation method from three-dimensional computed tomographic (3D CT) images has been developed. The method uses two types of atlases, a probabilistic atlas (PA) and a statistical shape model (SSM). MATERIALS AND METHODS Voxel-based segmentation with a PA is first performed to obtain a liver region, then the obtained region is used as ...

Plant proteins are plausible fishmeal substitutes but are deficient in some essential amino acids (EAA) like lysine and methionine. Combination of different plant proteins with complimentary EAA could be useful alternative. Bambaranut (Voandzeia subterranea) contains high amount of lysine while methionine is in sesame seed (Sesamum indicum). This experiment tested effects of combining sesame se...