Optimizing Kidney Ultrasound images through Pre-Processing Filters
- Title
- Optimizing Kidney Ultrasound images through Pre-Processing Filters
- Creator
- Kausar F.; Ramamurthy B.
- Description
- Medical image processing and analysis have greatly advanced in the past decade, significantly contributing to the diagnosis of various diseases.However, It is crucial to address the need for effective data management in the medical field due to the significant rise in data generation and storage. It necessitates the exploration of compression methods as a means of achieving efficient data handling. Consideration should be given to image processing approaches to minimize redundancy. Ultrasound imaging has gained importance in recent years, but the presence of artifacts in ultrasound images has complicated diagnoses. An evaluation has been performed to identify appropriate Pre-processing techniques for kidney images before extracting kidney features. Observing the sensitivity and calculating the PSNR and MSE of the filtered image are used to assess the applied methods. The results indicate that the median filter is ideal for image quality enhancement, while the Sobel filter is highly effective in detecting kidney edges. 2023 IEEE.
- Source
- 2023 1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- edge detection; enhancement; Filters; Kidney images; Mean Standard Error (MSE); noise; Peak-Signal-Noise-Ratio (PSNR); Pre-processing; quality; Ultrasound (US)
- Coverage
- Kausar F., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India; Ramamurthy B., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835034279-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kausar F.; Ramamurthy B., “Optimizing Kidney Ultrasound images through Pre-Processing Filters,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19733.