The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 52-598
Full Name: Tamil Selvi
Position: Senior Lecturer
Age: ON
Sex: Female
Address: P.R. Tamilselvi, senior lecturer/CT Department , Kongu Engineering College, Perundurai
Country: INDIA
Tel: +919942055733
Tel prefix: 91
Fax: 220087
E-mail address: selvipr2003@yahoo.com
Other E-mails: selvipr2003@gmail.com
Title of the Paper: Segmentation of Kidney from Ultrasound Images
Authors as they appear in the Paper: P.R.Tamilselvi, Dr.P.Thangaraj
Email addresses of all the authors: selvipr2003@yahoo.com,ctpt@kongu.ac.in
Number of paper pages: 10
Abstract: The proposal of this work presented an efficient semiautomatic seeded region growing (SRG) based image segmentation process carried out for Ultrasonic Kidney images and compared with morphological filter and watershed segmentation model. Firstly it present the region based segmentation approach for ultrasound images in which the homogeneous regions depends on the image granularity features, where the interested structures with dimensions comparable to the speckle size are to be extracted. This method uses a look up table comprising of the local statistics of every pixel, which are consisting of the homogeneity and similarity bounds according to the kernel size. The shape and size of the growing regions depend on this look up table entries. The algorithms are implemented by using Proposed seeded region growing procedure where each pixel is taken as seed point. The region merging after the region growing also suppresses the high frequency artifacts. The updated me!
rged regions produce the output in form of segmented image with higher efficiency (15% higher homogeneous pixels) than watershed method. The proposed SRG algorithm produces the results that are less sensitive to noisy pixel and it also allows a segmentation of the accurate homogeneous regions compared with morphological filter segmentation (12% of seed regions).
Keywords: Keywords: Ultrasound kidney Image – Segmentation – Proposed Seeded Region Growing - Watershed – Morphological segmentations
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Medical Imaging, segmentation, watershed, morphology, kidney, ultrasound
IP ADDRESS: 210.212.246.46
