Abstract
Texture analysis of X-ray bone image using Laws' mask for direct evaluation of the bone quality has been popular. Nevertheless, detailed reliability evaluation of the system classification has been relatively unknown. In this study, we will examine the reliability of the Laws' mask system classification by using the confusion matrix approach. The precise detection system by using standard deviation statistical descriptor is supported by the true positive of 87.5% and true negative of 83.33%. In conclusion, the statistical analysis of the texture based osteoporosis detection system's reliability discloses a true potential in this detection technique. Nevertheless, future researches should include a larger image database to enhance the reliability of the results.
| Original language | English |
|---|---|
| Pages (from-to) | 4002-4007 |
| Number of pages | 6 |
| Journal | Research Journal of Applied Sciences, Engineering and Technology |
| Volume | 7 |
| Issue number | 19 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
Keywords
- Confusion matrix
- Osteoporosis
- Statistical descriptor
- Texture