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...

The scene partitioning problem is to delineate regions in an image that correspond to the same object according to some underlying object model. Examples include partitioning an intensity image into piecewise constant intensities or identifying separate planar regions in a disparity map. A general algorithm for solving the partitioning problem in cases of linear models is presented. The algorit...

This paper presents a novel method for parallelizing the seeded region growing (SRG) algorithm using Compute Unified Device Architecture (CUDA) technology, with intention to overcome the theoretical weakness of SRG algorithm of its computation time being directly proportional to the size of a segmented region. The segmentation performance of the proposed CUDA-based SRG is compared with SRG impl...

Interactive data visualization is inherently an iterative trial-and-error process searching for an ideal set of parameters for classifying and rendering features of interest in the data. This paper presents 3-d region growing based techniques that can assist the users to locate and define features of interest in volume data more quickly and more accurately. One technique employs partial region ...

Lung lesion segmentation refers to the process of partitioning an image into mutually exclusive regions. This study gives a new approach to K-means clustering technique (K-CT) integrated with Fuzzy C-means algorithm for lung segmentation. In the study, large number of images with various types of segmentation was selected and examined. It is followed by thresholding and level set segmentation s...