Title :
Comparison of despeckle filters for endometrial ultrasound images
Author :
Temizkan, Ebubekir ; Bilge, Hasan Sakir ; Temizkan, Reyyan Ozcan
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Gazi Univ., Ankara, Turkey
Abstract :
Endometrial cancer is a type of cancer in women. Diagnosis of the cancer can be made via ultrasound imaging. Ultrasound imaging is one of the essential methods for noninvasive medical diagnosis. However, speckle noise reduces the quality of the ultrasound image by reducing contrast-to-noise ratio and it also affects image interpretation by doctor. Thus, despeckle is critical phase in pre-processing of ultrasound images. Many speckle noise reduction filters has been designed by the researchers, but it has not been a detailed study on endometrial ultrasound images. In this study, PMAD, SRAD, DPAD and PPB filters are tested on endometrial ultrasound images to reduce speckle noise. NIQE image quality metrics that does not need noise free reference image were computed in order to determine which despeckling algorithm is most effective and experimental results have been demonstrated.
Keywords :
biomedical ultrasonics; cancer; image denoising; medical image processing; patient diagnosis; speckle; DPAD; NIQE image quality metrics; PMAD; PPB filters; SRAD; contrast-to-noise ratio; despeckle filters; despeckling algorithm; endometrial cancer; endometrial ultrasound images; image interpretation; noise free reference image; noninvasive medical diagnosis; speckle noise; speckle noise reduction filters; ultrasound image quality; women; Cancer; Image quality; Signal to noise ratio; Speckle; Ultrasonic imaging; despeckle filters; natural image quality metric; speckle noise; ultrasound image;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130127