Please use this identifier to cite or link to this item:
Title: Unified framework for counting agriculture-related objects in digital images.
Authors: BARBEDO, J. G. A.
Date Issued: 2012
Citation: In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 25., 2012, Ouro Preto. Workshop on industry applications. [S.l.]: Conference Publishing Series, 2012.
Pages: Não paginado.
Description: Abstract-Counting objects is an important activity in the daily routine of many areas of industry. This is particularly true in agriculture, in which objects like cells, microorganisms, seeds and other structures have to be quantified as a source of relevant information. This paper proposes a framework that aggregates three different algorithms into a single tool able to tackle a wide variety of counting problems that exist in the agriculture industry. The factor that brings all those algorithms together is the input by the user of some templates for the objects, which allows the resulting method to select the best option for those particular conditions. As a desirable side effect, problems related to resolution and scale dependencies that plagued those previous algorithms are mostly solved by this new approach.
NAL Thesaurus: Digital images
Keywords: Imagens digitais
Contagem de objetos
Aplicação agrícola
Notes: SIBGRAPI 2012.
Type of Material: Artigo em anais e proceedings
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPTIA)

Files in This Item:
File Description SizeFormat 
104768.pdf538,88 kBAdobe PDFThumbnail

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace