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Copyright of Revista Ingeniare is the property of Universidad Libre Seccional Barranquilla and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper reports the investigation results addressed to design of a digital image processing method for automate the registration and control process of livestock marks according to Colombian regulations livestock sector. It allows automate the process of search and comparison required for livestock mark uniqueness assurance on a computer assisted system. First, a histogram is generated based on statistical distribution of geometrical information, which permit to detect similarities between registered marks by means Minkowski-based metric. The results show that the method allows discriminating between images using a digital signature from a Shape Distribution the geometric structure reducing ambiguity and ensuring the uniqueness of registered marks. We show the results and make an analysis of system application. [ABSTRACT FROM AUTHOR]

Copyright of Revista Tecno Lógicas is the property of Instituto Tecnologico Metropolitano and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper we show an optic disk (OD) detection approach based on evolution strategy (ES). The approach has two main steps: Coarse detection and contour edges refinement. Coarse detection estimates an approximated position using a ES in which each individual has a fitness function based on the bright pixels amount and the vasculature structure edge pixels quantity inside a circle. The contour edge refinement uses a geometrical approach to circle deformation in order to adjust the edge circle with OD edges. For this, the pixel with the largest intensity value variation along a normal line is considered. The proposed approach was evaluated using the STARED and DIAREDB public repository, processing normal and disease patient states retinal images. The results show that the proposed method identifies the optic disk position with an accuracy of 96 %. [ABSTRACT FROM AUTHOR]

Diabetic diseases affect the internal structures of the retina circulatory system. Diabetic retinopathy is considered the leading cause of blindness in adult populations; this aspect has motivated the development of several works related to the inclusion of computational techniques for analysis of retinal images. In this paper, we review and describe recent literature regarding digital retinal processing, particularly the automation of detection, segmentation and location of pathology processes, arising from diabetic retinopathy condition. A pathology type-based classification was performed. [ABSTRACT FROM AUTHOR]

Hole-filling task in tridimensional reconstruction process requires an expert user to select holes to be corrected (filled) in cases where there are real holes in the surface of the object that is being reconstructed. Generally, proposed works in hole--filling tasks assume the surface of the object is continuous, so that all holes must be corrected. The latter is not true for many cases e.i. industrial parts and free-form objects. In this work, it is proposed a method for automatic hole classification in tridimensional surfaces of free-form objects into two categories: real or holes that must not be corrected, and anomalies or holes that must be corrected. For this purpose, three characteristics of hole contour are calculated: torsion, curvature and size, and subsequently are used in a supervised classification system. Results show a classification rate over 90%. [ABSTRACT FROM AUTHOR]

In Colombia, tropical fruit export industry, specifically “mango de azúcar" (sweet mango), is characterized for the manual treatment in each stage prior to commercialization, specially application of classification procedures according to local quality standardized criteria (NTC-5139). This research article describes the design of a mechanical prototype for automating the export-type “mango de azúcar" (Mangifera Indica L) classification process. This prototype consists of a band system which allows conveying and rotating the fruit so that an acquisition system captures several faces of the fruit. Images obtained were analyzed through computational techniques which allow obtaining a 3-D approach, and this makes estimation of each fruit volume possible. Results of the operation of this mechanisms and the application of methods showed an accuracy over 90%. [ABSTRACT FROM AUTHOR]