Edge detection using sobel method with Median filter

In this paper we show a very good approach to detect edge and corner of any image. Edges and corners are very important part of an image. Edge detection is a commonly performed operation in image processing. Many different edge detectors were used in edge detection. However, the results may not be satisfied when they are directly used in digital images which are affected by noise. Therefore, it's necessary for us to smooth the noise before detecting edges This paper proposes an improved algorithm which used the Sobel operator to detect the edges with median filter to remove the unwanted noise of an image; we also calculate the PSNR value with median filter for better performance. This paper compares and analyzes several kinds of image edge detection, including prewitt, Robert and canny with matlab tool. The experimental results on standard test images demonstrate this filter is simpler and better performing than average filter and also detect the edges accurately. KeywordsEdge detection, Sobel operator, Median filter.

[1]  V. Jayaraj,et al.  High Density Salt and Pepper Noise Removal in Images using Improved Adaptive Statistics Estimation Filter , 2009 .

[2]  Tina Gebreyohannes,et al.  Adaptive Noise Reduction Scheme for Salt and Pepper , 2012, ArXiv.

[3]  Richard A. Haddad,et al.  Adaptive median filters: new algorithms and results , 1995, IEEE Trans. Image Process..

[4]  N Kumarasabapathy,et al.  Study and Analysis of Impulse Noise Reduction Filters , 2011 .

[5]  Abhishek Arvind Gulhane,et al.  Noise Reduction of an Image by using Function Approximation Techniques. , 2012 .

[6]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[7]  Richard Szeliski,et al.  Automatic Estimation and Removal of Noise from a Single Image , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Pierre Charbonnier,et al.  Modeling non-gaussian noise for robust image analysis , 2007, VISAPP.

[9]  Mrityunjaya V. Latte,et al.  A new impulse noise detection and filtering algorithm , 2011 .

[10]  Madhu S. Nair,et al.  Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm , 2008 .

[11]  Farrokh Marvasti,et al.  Fast Impulse Noise Removal from Highly Corrupted Images , 2011, ArXiv.

[12]  D. Ebenezer,et al.  Adaptive Window Length Recursive Weighted Median Filter for Removing Impulse Noise in Images with Details Preservation , 2007 .

[13]  G. Sundararaj,et al.  An Efficient Algorithm For Removal Of Impulse Noise Using Adaptive Fuzzy Switching Weighted Median Filter , 2012 .

[14]  R. Srikanth,et al.  Removal of High Density Salt & Pepper Noise in Noisy Images Using Decision Based UnSymmetric Trimmed Median Filter (DBUTM) , 2011 .

[15]  Raymond H. Chan,et al.  Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization , 2005, IEEE Transactions on Image Processing.

[16]  Salem Saleh Al-amri,et al.  A Comparative Study of Removal Noise from Remote Sensing Image , 2010, ArXiv.