Digital Image Processing

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Uterine Fibroid Diagnosis:A Dynamic Approach for Despeckling and Segmentation


Affiliations
1 K.S.Rangasamy College of Technology, Anna University of Technology, Coimbatore, India
2 V.L.B Janakiammal College of Engineering and Technology, Bharathiyar University, Coimbatore, India
     

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Uterine fibroids are the most common pelvic tumors in females. Ultrasonic image segmentation is a difficult problem due to speckle noise, low contrast, and local changes of intensity.Intensity-based methods do not perform particularly well on ultrasound images. However, it has been previously the speckle noise is removed by the Discrete Wavelet Transform (DWT). Then these images respond well to local Phase-Based Level Set methods (PBLS)which are theoretically intensity invariant. The proposed approach performances are evaluated in terms of accuracy, specificity and sensitivity.

Keywords

Uterus, Fibroid, Ultrasound Imaging, Level Set, Local Phase, Speckle Noise, Discrete Wavelet Transform.
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  • Uterine Fibroid Diagnosis:A Dynamic Approach for Despeckling and Segmentation

Abstract Views: 223  |  PDF Views: 2

Authors

M. Selvarani
K.S.Rangasamy College of Technology, Anna University of Technology, Coimbatore, India
S. Malarkhodi
V.L.B Janakiammal College of Engineering and Technology, Bharathiyar University, Coimbatore, India

Abstract


Uterine fibroids are the most common pelvic tumors in females. Ultrasonic image segmentation is a difficult problem due to speckle noise, low contrast, and local changes of intensity.Intensity-based methods do not perform particularly well on ultrasound images. However, it has been previously the speckle noise is removed by the Discrete Wavelet Transform (DWT). Then these images respond well to local Phase-Based Level Set methods (PBLS)which are theoretically intensity invariant. The proposed approach performances are evaluated in terms of accuracy, specificity and sensitivity.

Keywords


Uterus, Fibroid, Ultrasound Imaging, Level Set, Local Phase, Speckle Noise, Discrete Wavelet Transform.