TY  - CONF
AU  - Radojević, Rade
AU  - Petrović, Dragan
AU  - Urošević, Mirko P.
AU  - Nikolić, Zoran M.
AU  - Miodragović, Rajko
PY  - 2012
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3011
AB  - Computer assisted image analysis offers many important (pseudo) man-independent procedures, which can be used in combination with classical evaluation methods. This paper presents a novel approach in fruit surface quality analysis. It includes a computer program, based on contour recognition and decomposition of digital image objects according to their color scale intensity. This analysis has been performed by digital pattern recognition method (DPR), which is based on automatic color scale and object analysis of isohels contours for isolated and separated objects. As a result of this analysis, a more precise grading of the fruit surface quality can be achieved.
PB  - Agronomski fakultet Sveucilista u Zagrebu, 10000 Zagreb
C3  - Aktualni Zadaci Mehanizacije Poljoprivrede
T1  - A digital method for apple surface quality grading
EP  - 361
SP  - 355
VL  - 40
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_3011
ER  - 

@conference{
author = "Radojević, Rade and Petrović, Dragan and Urošević, Mirko P. and Nikolić, Zoran M. and Miodragović, Rajko",
year = "2012",
abstract = "Computer assisted image analysis offers many important (pseudo) man-independent procedures, which can be used in combination with classical evaluation methods. This paper presents a novel approach in fruit surface quality analysis. It includes a computer program, based on contour recognition and decomposition of digital image objects according to their color scale intensity. This analysis has been performed by digital pattern recognition method (DPR), which is based on automatic color scale and object analysis of isohels contours for isolated and separated objects. As a result of this analysis, a more precise grading of the fruit surface quality can be achieved.",
publisher = "Agronomski fakultet Sveucilista u Zagrebu, 10000 Zagreb",
journal = "Aktualni Zadaci Mehanizacije Poljoprivrede",
title = "A digital method for apple surface quality grading",
pages = "361-355",
volume = "40",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_3011"
}

Radojević, R., Petrović, D., Urošević, M. P., Nikolić, Z. M.,& Miodragović, R.. (2012). A digital method for apple surface quality grading. in Aktualni Zadaci Mehanizacije Poljoprivrede
Agronomski fakultet Sveucilista u Zagrebu, 10000 Zagreb., 40, 355-361.
https://hdl.handle.net/21.15107/rcub_agrospace_3011

Radojević R, Petrović D, Urošević MP, Nikolić ZM, Miodragović R. A digital method for apple surface quality grading. in Aktualni Zadaci Mehanizacije Poljoprivrede. 2012;40:355-361.
https://hdl.handle.net/21.15107/rcub_agrospace_3011 .

Radojević, Rade, Petrović, Dragan, Urošević, Mirko P., Nikolić, Zoran M., Miodragović, Rajko, "A digital method for apple surface quality grading" in Aktualni Zadaci Mehanizacije Poljoprivrede, 40 (2012):355-361,
https://hdl.handle.net/21.15107/rcub_agrospace_3011 .

TY  - JOUR
AU  - Radojević, Rade
AU  - Petrović, Dragan
AU  - Pavlović, Vladimir
AU  - Nikolić, Zoran M.
AU  - Urošević, Mirko P.
PY  - 2011
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/2408
AB  - To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled.
T2  - African Journal of Agricultural Research
T1  - Digital parameterization of apple fruit size, shape and surface spottiness
EP  - 3142
IS  - 13
SP  - 3131
VL  - 6
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_2408
ER  - 

@article{
author = "Radojević, Rade and Petrović, Dragan and Pavlović, Vladimir and Nikolić, Zoran M. and Urošević, Mirko P.",
year = "2011",
abstract = "To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled.",
journal = "African Journal of Agricultural Research",
title = "Digital parameterization of apple fruit size, shape and surface spottiness",
pages = "3142-3131",
number = "13",
volume = "6",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_2408"
}

Radojević, R., Petrović, D., Pavlović, V., Nikolić, Z. M.,& Urošević, M. P.. (2011). Digital parameterization of apple fruit size, shape and surface spottiness. in African Journal of Agricultural Research, 6(13), 3131-3142.
https://hdl.handle.net/21.15107/rcub_agrospace_2408

Radojević R, Petrović D, Pavlović V, Nikolić ZM, Urošević MP. Digital parameterization of apple fruit size, shape and surface spottiness. in African Journal of Agricultural Research. 2011;6(13):3131-3142.
https://hdl.handle.net/21.15107/rcub_agrospace_2408 .

Radojević, Rade, Petrović, Dragan, Pavlović, Vladimir, Nikolić, Zoran M., Urošević, Mirko P., "Digital parameterization of apple fruit size, shape and surface spottiness" in African Journal of Agricultural Research, 6, no. 13 (2011):3131-3142,
https://hdl.handle.net/21.15107/rcub_agrospace_2408 .