The cell segmentation presented in this paper is part of current research work on an automated cell tracking project. Its aim is the tracking of the movement of representative cells in a 3D collagen gel in order to determine the activity of the cell after the injection of certain medical substances. A major requirement for this project is an efficient and robust method for the segmentation of c...

Connection Machine Nawal Copty, Sanjay Ranka, Geo rey Fox, and Ravi Shankar School of Computer and Information Science Syracuse University, Syracuse, NY 13244 Email: nkcopty, ranka, [email protected], [email protected] Published in: Proc. 22nd International Conference on Parallel Processing, 1993, Vol. III, pp. 102-105 Abstract { This paper presents a parallel algorithm for solving the re...

I Abstract-We present a method that combines region growing and edge detection for image segmentation. We start with a split-and-merge algorithm [12] where the parameters have been set up so that an oversegmented image results. Then region boundaries are eliminated or modified on the basis of criteria that integrate contrast with boundary smoothness, variation of the image gradient along the bo...

The segmentation of linear structures in a gray-scale image is widely used in a variety of image analysis and visualization tasks. In case of biomedical image analysis of volumetric data (such as CT or MRI scans), it is very common that a linear structure (blood vessel) is attached to a sheet-shaped (planar) and/or blob-shaped (ellipsoid) region (large tissue or fluid mass such as cistern basin...

Region growing algorithm has successfully been used as a segmentation technique of digital images. The current study went one step further by utilizing the potential use of thresholding the region growing algorithm as features extraction technique. The proposed features extraction algorithm is called seeded region growing features extraction (SRGFE). This algorithm was used to extract four feat...

A method based on extracted trunks is proposed for automatic determination of corresponding trees between a georeferenced pair of terrestrial images and airborne laser scanner data in a wooded area. Trunks in the terrestrial images are obtained by region growing segmentation between left and right edges of trunks detected within a region of interest. Trunks in a digital tree height model genera...

Fingerprint Segmentation is one of the critical and important steps in Automatic Fingerprint Recognition System (AFIS). It is a process that separates the fingerprint image into two regions, the foreground and background. The foreground region will have the fingerprint region containing features for recognition and the background region is the unwanted region which can be excluded from further ...

Unseeded region growing is a versatile and fully automatic segmentation technique suitable for multispectral and 3D images. This approach integrates region-based segmentation with image processing techniques based on adaptive anisotropic diffusion filters. The segmentation method is fast, reliable and free of tuning parameters. It is indeed a general purpose segmentation method and has been suc...

The Normal Distributions Transform (NDT) scan registration algorithm divides a point cloud using rectilinear voxel cells then models the points within each cell as a set of Gaussian distributions. A nonlinear optimization is performed in order to register the scans, however the voxel based approach results in a discontinuous cost function that hinders convergence. In this work, a segmented regi...

Computer-aided diagnosis (CAD) system provides effective early lung diseases diagnoses. Parenchyma refers to the part Lung that is responsible for that Lung working properly. People with lung parenchymal disease often suffer from conditions such as sarcoidoisis, characterized by tissue swelling and the formation of lumps in the tissue. Other conditions commonly found in the lung’s parenchyma ar...