Abstract
Abstract. FCT / UNESP has been developing CARTOMORPH to be a public domain software which can be operated by users needing to extract and / or detect features from digital images. In this work, two methods were applied for the extraction and / or detection of the contours of the feature of interest (the highway) using a digital image containing part of a highway. One method was applied through the use of operators contained in the Mathematical Morphology toolbox, which is a private domain, SDC Information Systems, and the other was applied using the routine contained in the CARTOMORPH software. In the toolbox, the operators used were mmreadgray, responsible for opening the original image, mmhisteq, which softens the image, mmneg which can reverse the grayscale of pixels, and mmareaclose, which aims to remove image segmentation. This set of operators has resulted in a routine capable of extracting and / or detecting the contour of a road. The Blur and Minimum (Gblur) operator was used in the process using the CARTOMORPH software. This can detect the edges of objects present in the original blurred image, and transform them into an ideal edge ramp. Results from both methods were compared and the conclusion is that the blur and minimum (GBlur) operator gave a better performance. This finding indicates that the set of operators implemented in CARTOMORPH will be able to be operated by users in the field of cartography and related fields, thus enabling the use of a public domain software with efficient results.
Highlights
1.1 General InstructionsIn Remote Sensing area, Digital Image Processing (DIP) stands out for its ability to manipulate satellite images, being able to extract, detect or apply desired operations for which alcanse the expected result.In PDI, the linear approach may often not be adequate to extract an image of geometric structures, limiting the application of the approach area
The main objective is to draw a highway from a given satellite image using the Mathematical Morphology toolbox, which is in the private domain software of SDC Information Systems, and CARTOMORPH, developed by students and researchers at FCT / UNESP, which is in the public domain
4.2 CARTOMORPH The Gblur operator was applied in CARTOMORPH software, to make sure that it is able to detect the edge of the highway as well as the Mathematical Morphology techniques (MM) operators applied in the toolbox
Summary
In Remote Sensing area, Digital Image Processing (DIP) stands out for its ability to manipulate satellite images, being able to extract, detect or apply desired operations for which alcanse the expected result. This paper applies Mathematical Morphology techniques (MM), with PDI and Remote Sensing, to remedy the problem of structure extraction using linear analysis. MM efficiently addresses information extraction problems from the analysis of the geometric structure of the targets contained in the images, as it is able to detect objects according to their shape and size. The main objective is to draw a highway from a given satellite image using the Mathematical Morphology toolbox, which is in the private domain software of SDC Information Systems, and CARTOMORPH, developed by students and researchers at FCT / UNESP, which is in the public domain. A comparison of the two systems will be made, comparing extractions, verifying efficiency and indicating any significant flaws This extraction can assist in fault detection on roads, detours or excerpts presenting unwanted aspects. We present the methodology used in the work, results and conclusions
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