Texture Analysis of Radiograph in the Assessment of Osteoporosis

the level or degree of osteoporosis based on widely used Singh lndex (SI). The aims of this research was to help the Multi-channel filtering implemented using Discrete physician in diagnosis of odmpaosis by providing Transform is capab1e lo quantitative information about trabecular pattern recorded characteristics of the human visual system. In the in radiographs of proximal femur. assessment of osteoporosis, DWT was used to calculate features from trabecular pattern recorded on radiographs of proximal femur. The assessment of osteoporosis can be done by observing and analyzing the trabecular pattern in proximal femur. The feature extraction method used is energy computation. The energy then will be used for assessment or classification. The predetermined Singh Index of trabecular pattern are used to justifl the classification result.