VHDL IMPLEMENTATION FOR EDGE DETECTION USING LOG GABOR FILTER FOR DISEASE DETECTION

V.V.Kumbhalwar, S.R.Dixit

Abstract: Edge detection is first and essential step in the field of image processing. Detected edges play a very important role such as image enhancement, object detection, focus area selection and many more. In medical application like tonsillitis, tumor, fracture can be detected in its early stage by detecting edges of disease. There are different and many ways for edge detection, However, the most may be grouped into three categories, first order gradient, second order and optimal edge detection.. Sobel edge detection is gradient based edge detection method used for finding edges of image. Also Sobel edge detection method provide one more advantage that it having better noise sensitivity as compared to other edge detection method. Here new concept Log-Gabor filter is used for best contrast ridges, efficient noise reduction and improved edges of an images. Most image processing tools such LabVIEW are not suited for strong real-time constraints, so to overcome this problem hardware implementation FPGA used. Proposed model for disease detection is design in LabVIEW platform with NI Vision Assistant tool 14.0

Keywords: Edge Detection, Sobel Operator, Log-Gabor Filter, Labview 14.0

DOI: https://doi.org/10.15623/ijret.2016.0503080