Digital Image Enhancement Using Hybrid Fuzzy Techniques Based on LabVIEW | ||
| Al-Rafidain Engineering Journal (AREJ) | ||
| Article 1, Volume 20, Issue 4, August 2012, Pages 1-10 PDF (0 K) | ||
| DOI: 10.33899/rengj.2012.54148 | ||
| Authors | ||
| Sura Nawfal Abd alrazaaq; Dr. Fakhraldeen H. Ali | ||
| Abstract | ||
| Abstract In this paper, two LabVIEW based hybrid fuzzy filters combining fuzzy logic with simple filtering techniques for image de-noising are presented. LabVIEW is widely adopted for the design of real time systems and their realization in hardware due to the facilities available for performance simulation and measurements under different conditions. The main feature of the filters is that they try to determine the corrupted pixels using fuzzy rules and then treat them by utilizing the classical filters. To measure the performance of the designed filters, several corrupted images with Gaussian noise are processed. An objective criterion such as the Mean Square Error (MSE), and visual observation prove the effectiveness of the hybrid technique compared with the classical filters and several modern filters. Keywords: Denoising, LabVIEW, Hybrid fuzzy filtering, Gaussian noise. | ||
| Keywords | ||
| KEYWORDS; LabVIEW; Hybrid fuzzy filtering; Gaussian Noise | ||
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