Automatic Method for Visual Grading of Seed Food Products

被引：4
|
作者：
Dubosclard, Pierre [1 ,2 ]
Larnier, Stanislas [1 ,2 ]
Konik, Hubert [3 ]
Herbulot, Ariane [1 ,2 ]
Devy, Michel [1 ,2 ]
机构：
[1] CNRS, LAAS, 7 Ave Colonel Roche, F-31400 Toulouse, France
[2] Univ Toulouse, UPS, LAAS, F-31400 Toulouse, France
[3] Lab Hubert Curien, St Etienne, France
来源：
IMAGE ANALYSIS AND RECOGNITION, ICIAR 2014, PT I | 2014年 / 8814卷
关键词：
ACTIVE CONTOURS;
D O I：
10.1007/978-3-319-11758-4_53
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an automatic method for visual grading, designed to solve the industrial problem of evaluation of seed lots. The sample is thrown in bulk onto a tray placed in a chamber for acquiring color image. An image processing method had been developed to separate and characterize each seed. The approach adopted for the segmentation step is based on the use of marked point processes and active contour, leading to tackle the problem by a technique of energy minimization.
引用
收藏
页码：485 / 495
页数：11
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