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                    "codemeta:author": [
                        {
                            "codemeta:affiliation": "CMLA, ENS Cachan, France",
                            "codemeta:name": "Rafael Grompone von Gioi"
                        },
                        {
                            "codemeta:affiliation": "TELECOM, Paristech, France",
                            "codemeta:name": "J\u00e9r\u00e9mie Jakubowicz"
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                        {
                            "codemeta:affiliation": "CMLA, ENS Cachan, France",
                            "codemeta:name": "Jean-Michel Morel"
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                            "codemeta:affiliation": "IIE, UdelaR, Uruguay",
                            "codemeta:name": "Gregory Randall"
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                    "codemeta:dateCreated": "2011-11-11",
                    "codemeta:datePublished": "2012-03-24",
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                        "codemeta:name": "Image Processing On Line (IPOL)",
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                    },
                    "codemeta:keywords": [
                        "line segment detection",
                        "a contrario method"
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                        "codemeta:abstract": "LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections: On average, one false alarms is allowed per image. The method is based on Burns, Hanson, and Riseman's method, and uses an a-contrario validation approach according to Desolneux, Moisan, and Morel's theory. The version described here includes some further improvement over the one described in the original article.",
                        "codemeta:identifier": "https://doi.org/10.5201/ipol.2012.gjmr-lsd",
                        "codemeta:name": "LSD: a Line Segment Detector",
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