Automatic Boundary Detection and Generation of Region of Interest for Focal Liver Lesion Ultrasound Image Using Texture Analysis
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 7
Abstract
The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an on-going field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs. Finding the correct boundary in noisy images is still a difficult task. We have used GVF method for boundary detection for FLL US images. The presence of speckle noise in US images, performing the segmentation methods for the FLL images were very challenging and therefore, deleting and removing the complicated background will speed up and increases the accuracy of the segmentation process. Therefore, this study proposed an automatic ROI generation for FLL US images. Firstly, some techniques of speckle noise reduction will implemented consist of median, mean, Gaussian low-pass and Wiener filter. Then texture analysis was performed by calculating the local entropy of the image, continued with the threshold selection, morphological operations, object windowing, seed point determination and ROI generation[1,2,3,4,5
Authors and Affiliations
Mihir N. Dalwadi , Prof. D. N. Khandhar , Prof. Kinita H. Wandra
Keywords
Related Articles
- EP ID EP120522
- DOI -
- Views 88
- Downloads 0
Association Rule Mining using Apriori Algorithm: A Survey
— Association rule mining is the most important technique in the field of data mining. Association rule mining finding frequent patterns, associations, correlations, or causal structures among sets of items or obje...
Design of WLAN RF front end LNA for Noise & Gain Improvement
The design of a Low Noise Amplifier (LNA) in Radio Frequency (RF) circuit requires the trade-off many importance characteristics such as gain, Noise Figure (NF), stability, power consumption and complexity).In this...
Dynamically Adjusting Network Topology for MANETS By using DBET
In MANETS, network topology vary according to nodes, nodes are usually powered by batteries. To prolong the network life, the energy consumption of the routing task is crucial. In previous works, enormous topolog...
A cryptosystem based on Vigenère cipher with varying key
Privacy is one of the key issues information Security addresses. Through encryption one can prevent a third party from understanding raw data during signal transmission. The encryption methods for enhancing the sec...
A Comparative Analysis of Feed-Forward and Elman Neural Networks for Face Recognition Using Principal Component Analysis
Abstract—In this paper we give a comparative analysis of performance of feed forward neural network and elman neural network based face recognition. We use different inner epoch for different input pattern according to t...