| Journal of Global Research in Computer Sciences | |
| A NEW APPROACH TO EDGE DETECTION USING RULE BASED FUZZY LOGIC | |
| article | |
| Er. Manpreet Kaur1  Sumeet Kaur2  | |
| [1] M.Tech. Computer Science, YCOE, Guru Kashi Campus;CSE Deptt., YCOE, Guru Kashi Campus Talwandi Sabo | |
| 关键词: Image Processing; Edge detection; Fuzzy logic; Defuzzification; Edge; Fuzzy Inference system; | |
| 来源: Research & Reviews | |
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【 摘 要 】
Edge is a basic feature of image. The image edges include rich information that is very significant for obtaining the image characteristic by object recognition.Edge detection is the most commonly used technique in image processing. So this paper represents a modified rule based fuzzy logic technique, because fuzzy logic is desirable to convert the uncertainties that exist in many aspects of image processing. Here firstly the gradient and standard deviation is calculated and used as input for fuzzy system. The traditional algorithm like Sobel, Prewitt, LoG are implemented and then the results are compared with modified algorithm and concluded that the proposed technique is to find the more fine edges and reduce the pixels that are not belonging to the edge.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307140002527ZK.pdf | 200KB |
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