Title
Bilateral despeckling filter in homogeneity domain for breast ultrasound images
Abstract
Breast sonograms are more effective towards differentiation of cysts from solid tumours; if they could be post-processed for minimization of speckle content without blurring of edges. The approach presented in this paper consists of a bilateral filtering in homogeneity domain so that the despeckling process do not compromises the texture and features of masses. The proposed despeckled approach decomposes the input image into homogeneous and non-homogeneous regions; which are then selectively processed using the bilateral filter. The domain filtering component is made dominant when applied to homogeneous pixels providing smoothening while the range filter dominates on the non-homogeneous pixels leading to edge preservation. Simulations carried out on breast ultrasound images depict satisfactory speckle filtering supported with improvement in values of performance parameters (PSNR, SSIM & SSI).
Year
DOI
Venue
2014
10.1109/ICACCI.2014.6968596
Advances in Computing, Communications and Informatics
Keywords
Field
DocType
biomedical ultrasonics,edge detection,filtering theory,image texture,medical image processing,bilateral despeckling filter,breast sonograms,breast ultrasound images,cysts differentiation,despeckling process,domain filtering component,edge blurring,edge preservation,homogeneity domain,solid tumours,speckle content,Speckle Suppression Index (SSI),bilateral filter,domain filter,homogeneity domain,range filter
Breast ultrasound,Computer vision,Homogeneity (statistics),Computer science,Artificial intelligence,Speckle noise,Bilateral filter
Conference
Citations 
PageRank 
References 
0
0.34
21
Authors
4
Name
Order
Citations
PageRank
Vikrant Bhateja110713.48
Mukul Misra2232.23
Shabana Urooj3609.48
Aimé Lay-Ekuakille47121.29