Short communication. Computer vision applied to saffron flower (Crocus sativus L.) processing

C Perez-Vidal,C Gracia,L Gracia

doi:10.5424/sjar/20110904-119-11

C Perez-Vidal, C Gracia + Show 1 more

Open Access

https://doi.org/10.5424/sjar/20110904-119-11

Copy DOI

Abstract

This paper presents a computer vision system to obtain, using image analysis, the optimal cutting point of saffron flowers in order to obtain their stigmas. For this purpose, an effective and flexible computer program has been developed to process the flower image in order to obtain the cutting point to be sent to the cutting element. Furthermore, experimentation with real saffron flowers has been carried out in order to validate the developed application. In particular, the tests show that the method has good robustness and high success percentage in the flower characterization regardless the shape and size of the flower. The high image processing rate of the proposed method (20 computations s–1) would allow to greatly increase the production rate obtained with an automated cutting system compared to that obtained with the traditional hand method.

Highlights

An automated cutting system could be designed with the following subsystems: (a) flower transporter, (b) computer vision system, (c) automatic cutting element, and (d) stigma separation system
Saffron is a spice that has been well known since antiquity. It is derived from the dried stigma of the flower of the saffron crocus (Crocus sativus L.), a species of crocus in the family Iridaceae
This paper is focused on subsystem (b), i.e., the aim of this work is to develop a computer vision system to obtain the optimal cutting point of saffron flowers to be sent to an automatic cutting element

Summary

Introduction

An automated cutting system could be designed with the following subsystems: (a) flower transporter, (b) computer vision system, (c) automatic cutting element, and (d) stigma separation system. This paper is focused on subsystem (b), i.e., the aim of this work is to develop a computer vision system to obtain the optimal cutting point of saffron flowers to be sent to an automatic cutting element.

Objectives

Results

Conclusion