DETECTION AND CLASSIFICATION OF TUMORS IN CT IMAGES
Journal Title: Indian Journal of Computer Science and Engineering - Year 2015, Vol 6, Issue 2
Abstract
Image segmentation is the process of partitioning a digital image into multiple segments or set of pixels. The objective of image segmentation is to group pixels into a prominent image region. In this paper, segmentation of Gray level images is used to provide information such as anatomical structure and identifying the Region of Interest i.e. locate tumor, lesion and other abnormalities. The image segmentation methods may be classified into several types: image-based, model-based and hybrid methods. Purely image-based methods perform segmentation based only on information available within the image. These include thresholding, region growing, morphological operations, active contours level sets, watershed, fuzzy connectedness, and graph cuts (Gcs).Image based methods perform well on high-quality images. However, the results are not as good when the image quality is inferior or boundary information is missing .One advantage of model based methods is that, even when some object information is missing, such gaps can be filled by drawing upon the prior information present in the model .In this paper a semi automated segmentation method is implemented for medical image segmentation. Tumor detection is one of the major applications of medical image segmentation .A tumor detection algorithm using fuzzy c means clustering is also implemented in this paper.
Authors and Affiliations
Mredhula. L , Dr. M. A. Dorairangaswamy
Keywords
Related Articles
- EP ID EP89529
- DOI -
- Views 188
- Downloads 0
A GLFES and DFT Technique for Feature Selection in High-Dimensional Imbalanced dataset
Feature selection has been an active research area in pattern recognition, statistics ,and data mining communities Feature selection, is a preprocessing step to machine learning, is effective in reducing dimensionality,...
MOVING MACHINE TRANSLATION SYSTEM TO WEB
The paper presents an overview of an online system based on Punjabi to Hindi Machine translation system. The implementation of the system is roughly divided into two parts: the client side and the server side. On the cli...
AN EFFICIENT GESTURE RECOGNITION TOOLKIT
The rapid growth of computing has made effective human-computer interaction essential. It is important for the growing number of computer users whose schedules will not allow the elaborate training and experience that wa...
SPURIOUS POWER SUPPRESSION TECHNIQUE FOR VLSI ARCHITECTURE
Using spurious power suppression technique (SPST) in VLSI will reduce the power consumption of the system significantly. Here we are going to implement this design in Infinite Impulse Response (IIR) and Finite Impulse Re...
A SIMPLIFIED APPROACH TO WORD ALIGNMENT ALGORITHM FOR ENGLISH-TAMIL TRANSLATION
In this paper, a recently proposed word alignment algorithm is simplified for easy understanding and tested for an Indian language. The word alignment problem is viewed as a simple assignment problem and is formulated as...