Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new edge detection algorithm based on fuzzy system and fuzzy rules. Different approaches used before for detecting edges have some advantages and disadvantages like false edges are detected, some important edges are missed, noise around the corners etc. So, in order to reduce these types of effect special fuzzy system are used with inputs which are the computed values of two different methods. The output of fuzzy system will decide whether that particular pixel is a part of edge or not. The two methods used are gradient based i. e. first order derivative method and detection of zero crossing using laplacian operator applied to gaussian-smoothed image which is second order derivative method. Using these two approaches first values are computed and applied to fuzzy system. Then fuzzy system will decide for each pixel using different sets of fuzzy rules. Finally the outputs of proposed system are compared with that of a few other algorithms like Sobel, Prewitt etc. The experimental results show the ability and effectiveness of this system.
['J. Patel', 'Juilee Patwardhan', 'K. Sankhe', 'Reena Kumbhare']
I am writing a research paper on a idea Fuzzy inference based edge detection system using Sobel and Laplacian of Gaussian operators
[{"from": "human", "value": "I am writing a research paper on a idea Fuzzy inference based edge detection system using Sobel and Laplacian of Gaussian operators"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new edge detection algorithm based on fuzzy system and fuzzy rules. Different approaches used before for detecting edges have some advantages and disadvantages like false edges are detected, some important edges are missed, noise around the corners etc. So, in order to reduce these types of effect special fuzzy system are used with inputs which are the computed values of two different methods. The output of fuzzy system will decide whether that particular pixel is a part of edge or not. The two methods used are gradient based i. e. first order derivative method and detection of zero crossing using laplacian operator applied to gaussian-smoothed image which is second order derivative method. Using these two approaches first values are computed and applied to fuzzy system. Then fuzzy system will decide for each pixel using different sets of fuzzy rules. Finally the outputs of proposed system are compared with that of a few other algorithms like Sobel, Prewitt etc. The experimental results show the ability and effectiveness of this system."}]