{ "ok": true, "doi": "10.46243/jst.2022.v7.i02.pp11-20", "doi_display": "10.46243/jst.2022.v7.i02.pp11-20", "doi_url": "https://doi.org/10.46243/jst.2022.v7.i02.pp11-20", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/239", "title": "Influence of Salt and Pepper Noise on the Edge Detection of Images Using Modified Canny Edge Detector with S-Membership Function", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:23", "updated_at": "2026-09-29 23:59:41", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2022.v7.i02.pp11-20", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Influence of Salt and Pepper Noise on the Edge Detection of Images Using Modified Canny Edge Detector with S-Membership Function", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2022.v7.i02.pp11-20" } ], "agents": [ { "role": "author", "name": { "given": "R. Pradeep Kumar Reddy", "family": "R. Pradeep Kumar Reddy" }, "sequence": "first" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2022-07-03", "date_type": "PublicationDate", "online": "2022-07-03" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "7", "issue": "2", "pages": { "first": "11", "last": "20" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/239", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/239/208", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/239/2237", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/admin/uploads/JST070127.pdf", "purpose": "similarity-checking" } ], "abstract": { "value": "Edges in a digital image provide important information about the objects contained within the image since they constitute boundaries between objects in the image. The extraction of these features can be further used for real time purposes like face recognition, computer vision algorithms etc. But it is somewhat difficult to extract out all the edges efficiently wit hout affecting the structural properties of an image. Edges in an image represent a swift change in the intensity even in the presence of noise. It is essential to study the edge detecting properties of an image when the noise in the image is abundant. Edg e detection in noisy images is in agreement between denoising and edge preserving capability. Various smoothing filters are appropriately studied in the viewpoint of edge detection. This paper describes the influence of various intensity levels of noise in the edge detection of images and detailed statistical metrics for understanding the efficiency of the proposed method. In this work, two images such as butterfly and fruit are considered and salt and pepper noise is added to these images at various levels of intensity (5% to 50%). In the next stage a median filter is utilized to denoise the images and the edges are analy zed with the help of modified canny method using S -membership function. The statistical metrics of shows that the edges of the resultant image is strictly preserved till 25% of noise intensity levels. The severe degradation of edges is observed in the image for the noise intensity levels more than 25% of salt & pepper noise", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2022-07-03", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.14257/ijmue.2017.12.11.01", "unstructured": "Mohd. Aquib Ansari, Diksha Kurchaniya and Manish Dixit. A Comprehensive Analysis of Image Edge Detection Techniques International Journal of Multimedia and Ubiquitous Engineering. 2017;12(11):1-12" }, { "key": "ref2", "doi": "10.1134/s1054661817040162", "unstructured": "Song, R., Zhang, Z. & Liu, H. Edge connection based Canny edge detection algorithm. Pattern Recognit. Image Anal. 2017;27: 740–747" }, { "key": "ref3", "unstructured": "Haider O. Lawend, Anuar M. Muad, Aini Hussain. Robust Edge Detection Based On Canny Algorithm For Noisy Images. Journal of Theoretical and Applied Information Technology. 2017;95(19):5014-5114" }, { "key": "ref4", "doi": "10.5121/sipij.2015.6206", "unstructured": "Ajay Kumar Boyat and Brijendra Kumar Joshi. A Review Paper: Noise Models In Digital Image Processing, Signal & Image Processing: An International Journal (SIPIJ).2015;.6(2): 63-75" }, { "key": "ref5", "doi": "10.1109/tfuzz.2013.2286634", "unstructured": "F. Ahmed and S. Das. Removal of high-density salt-and-pepper noise in images with an iterative adaptive fuzzy filter using alpha-trimmed mean. IEEE Transactions on Fuzzy Systems.2014; 22(5):1352–1358" }, { "key": "ref6", "doi": "10.1016/j.aeue.2014.06.002", "unstructured": "V. R. Vijaykumar, G. Santhana Mari, and D. Ebenezer. Fast switching based median-mean filter for high density salt and pepper noise removal, AEÜ-International Journal of Electronics and Communications;2014;68(12):1145–1155" }, { "key": "ref7", "doi": "10.1109/lsp.2009.2038769", "unstructured": "K. Toh and N. Isa. Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction, IEEE Signal Processing Letters. 2010;17(3): 281–284" }, { "key": "ref8", "unstructured": "E Boopathi Kumar & Dr V Thiagarasu, International. Segmentation Using Fuzzy Logic In Color Images Based On Membership Functions, Journal Of Engineering Sciences & Research Technology.2017;6(6):38-45" }, { "key": "ref9", "doi": "10.35940/ijeat.e7419.088619", "unstructured": "R. Pradeep Kumar Reddy, C. Nagaraju. Improved Canny Edge Detection Technique Using S-Membership Function.2019;8(6)" }, { "key": "ref10", "doi": "10.1155/2017/5767521", "unstructured": "Henry Cruz, Martina Eckert, Juan M. Meneses, and J. F. Martínez. Research Article Fast Evaluation of Segmentation Quality with Parallel Computing. Hindawi Scientific Programming.2017;9:1-9" } ], "record": { "registrant": "Longman Publishers", "registered": "2024-02-16", "updated": "2026-09-17", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "0c2180f724533c56436ed460fe3cd53aeab7ba95538b0474e39d40279c42cb14", "handle": { "synced_at": "2026-10-01 18:12:34", "url": "https://www.jst.org.in/index.php/pub/article/view/239" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjst.2022.v7.i02.pp11-20", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2022.v7.i02.pp11-20&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjst.2022.v7.i02.pp11-20", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2022.v7.i02.pp11-20&as=xml" } }