DocumentCode :
28074
Title :
Metadata Extraction for Calculating Object Perimeter in Images
Author :
Hosoya Name, Marcio ; Silva Ribeiro, Sergio ; Matos Maruyama, Teruo ; de Padua Valle, Henrique ; Falate, Rosane ; Salete Marcon Gomes Vaz, Maria
Author_Institution :
Univ. Fed. do Parana (UFPR), Matinhos, Brazil
Volume :
12
Issue :
8
fYear :
2014
fDate :
Dec. 2014
Firstpage :
1566
Lastpage :
1571
Abstract :
The objective of this paper is to present the results of a class developed with routines in Java language, and contribution of OpenCV library, for analysis and extraction of metadata from images. To evaluate the developed class, three different figures were produced in cardstock and their perimeters were measured with a millimeter ruler. Then these figures were scanned for further image analysis with aid of the developed class. The images of the figures were initially saved in BMP format. After it, each of the images in BMP format were saved in JPG and PNG file formats resulting, at the end, on nine images. The validation of the correct extraction of the image metadata and so the perimeter value of the object was performed by comparing the valuesobtained by direct measurement perimeter of the figure, with a millimeter ruler, and the values obtained with digital image processing, counting the contour pixels of the image of the figure, and using the image resolution, one of the extracted metadata. For the edge detection and counting of the contour pixels of object, the algorithms cvFindContours() and cvContourPerimeter(), of OpenCV library, were used. It was obtained, for the worst case, a percentage error of 8.0 %, for images with BMP and PNG format. Therefore, the developed class presents satisfactory results and is recommended to extract and calculate measures of an object present in the image.
Keywords :
Java; edge detection; image resolution; meta data; BMP format; JPG file formats; Java language; OpenCV library; PNG file formats; cvContourPerimeter; cvFindContours; digital image processing; edge detection; image resolution; metadata extraction; object perimeter; Biomedical imaging; Image resolution; Image segmentation; Java; Microscopy; Software; Transform coding; Digital Image Processing; Metadata; OpenCV;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2014.7014529
Filename :
7014529
Link To Document :
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