Evaluation of Edge Configuration in Medical Echo Images Using Genetic Algorithms
| Main Author: | Ching-Fen Jiang |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2010
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1080040 |
Daftar Isi:
- Edge detection is usually the first step in medical image processing. However, the difficulty increases when a conventional kernel-based edge detector is applied to ultrasonic images with a textural pattern and speckle noise. We designed an adaptive diffusion filter to remove speckle noise while preserving the initial edges detected by using a Sobel edge detector. We also propose a genetic algorithm for edge selection to form complete boundaries of the detected entities. We designed two fitness functions to evaluate whether a criterion with a complex edge configuration can render a better result than a simple criterion such as the strength of gradient. The edges obtained by using a complex fitness function are thicker and more fragmented than those obtained by using a simple fitness function, suggesting that a complex edge selecting scheme is not necessary for good edge detection in medical ultrasonic images; instead, a proper noise-smoothing filter is the key.