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FCT / UNESP has been developing CARTOMORPH to be a public domain software which can be operated by users needing toextract and / or detect features from digital images. In this work, two methods were applied for the extraction and / or detection of thecontours of the feature of interest (the highway) using a digital image containing part of a highway. One method was applied throughthe use of operators contained in the Mathematical Morphology toolbox, which is a private domain, SDC Information Systems, andthe other was applied using the routine contained in the CARTOMORPH software. In the toolbox, the operators used weremmreadgray, responsible for opening the original image, mmhisteq, which softens the image, mmneg which can reverse thegrayscale of pixels, and mmareaclose, which aims to remove image segmentation. This set of operators has resulted in a routinecapable of extracting and / or detecting the contour of a road. The Blur and Minimum (Gblur) operator was used in the process usingthe CARTOMORPH software. This can detect the edges of objects present in the original blurred image, and transform them into anideal edge ramp. Results from both methods were compared and the conclusion is that the blur and minimum (GBlur) operator gavea better performance. This finding indicates that the set of operators implemented in CARTOMORPH will be able to be operated byusers in the field of cartography and related fields, thus enabling the use of a public domain software with efficient results

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Comparison among operators for detecting and/or extracting or roads using the matlab software and the cartomorph software