Edge Detection of CT scan Spine disc image using Canny Edge Detection Algorithm based on Magnitude and Edge Length

In this paper, a Spinal unit otherwise known as vertebral column consists of 24 separate bony vertebrae together with 5 fused vertebrae, it is the unique interaction between the solid and fluid components that provide the disc the strength and flexibility required to bear loading of the lumbar spine. In this work Magnitude and Edge Length based Canny Edge Detection Algorithm has been proposed to pre processing of boundary detection of the CT scan Spine disc image. To find the correct boundary in noisy image of spine disc is still a difficult one. The proposed Canny Edge Detection algorithm has been used to detect the boundaries of spine disc image from the noisy image. The performance of proposed technique has been verified and validated with the standard medical values. The results show that the proposed technique performs well and produced very near to the optimal solution. This method is robust for all kinds of noisy images.