The bone age of a human can be identified using carpal and epiphysis bones ossification, which is limited to teen
age. The accurate age estimation depends on best separation of bone pixels and soft tissue pixels in the ROI image.
The traditional approaches like canny, sobel, clustering, region growing and watershed can be applied, but these
methods requires proper pre-processing and accurate initial seed point estimation to provide accurate results.
Therefore this paper proposes new approach to segment the bone from soft tissue and background pixels. First pixels
are enhanced using BPE and the edges are identified by HIPI. Later a K-Means clustering is applied for
segmentation. The performance of the proposed approach has been evaluated and compared with the existing