An Edge Detection Technique Using Bacterial Foraging Optimization Method

Edge detection is very important field of image processing as well as in medical field. It helps in detecting various cracks in the body. In this research work, medical images i.e. X-rays are used to find the crack in the body. Discrete Wavelet Transformation (DWT) is used to divide the image into four sub-levels i.e. HH, HL, LL and LH. Bacteria Foraging Optimization (BFO) is used to get reduced feature set. The whole simulation is implemented in MATLAB 2010 environment. The whole simulation is tested using various parameters like Structural Similarity Index (SSIM),Normalized Absolute Error (NAE), Structural Content (SC), Entropy, Precision and Recall.