Segmentation of microscopic images of bacteria in Bulgarian yoghurt by template matching

Zlatev, Zlatin; Baeva, Mariya; Nikolova, Petya

doi:10.15547/artte.2016.03.008

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is efficient for small objects, but requires a high processing time for complex patterns and large images. Some advantages and disadvantages of segmentation methods based on template matching are discussed in [27].…”

Section: Related Workmentioning

confidence: 99%

A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread

et al. 2022

View full text Add to dashboard Cite

In this paper, we address the problem of automatic image segmentation methods applied to the partial automation of the production process of a traditional Sardinian flatbread called pane Carasau for assuring quality control. The study focuses on one of the most critical activities for obtaining an efficient degree of automation: the estimation of the size and shape of the bread sheets during the production phase, to study the shape variations undergone by the sheet depending on some environmental and production variables. The knowledge can thus be used to create a system capable of predicting the quality of the shape of the dough produced and empower the production process. We implemented an image acquisition system and created an efficient machine learning algorithm, based on support vector machines, for the segmentation and estimation of image measurements for Carasau bread. Experiments demonstrated that the method can successfully achieve accurate segmentation of bread sheets images, ensuring that the dimensions extracted are representative of the sheets coming from the production process. The algorithm proved to be fast and accurate in estimating the size of the bread sheets in various scenarios that occurred over a year of acquisitions. The maximum error committed by the algorithm is equal to the 2.2% of the pixel size in the worst scenario and to 1.2% elsewhere.

show abstract

Section: Related Workmentioning

confidence: 99%

A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread

et al. 2022

View full text Add to dashboard Cite

show abstract

Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas-Tomasi (KLT) algorithm based eigenvalue measurement

Mahadi

Ibrahim

Zaluwi³

et al. 2019

ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING: FROM THEORY TO APPLICATIONS (SERIES 2): Proceedings of the International Con

View full text Add to dashboard Cite

Evaluation of MTARSI2 Dataset for Aircraft Type Recognition in Remote Sensing Images

Hejji

Gouda

Bouridane

et al. 2022

2022 Integrated Communication, Navigation and Surveillance Conference (ICNS)

View full text Add to dashboard Cite

Segmentation of microscopic images of bacteria in Bulgarian yoghurt by template matching

Abstract: The diagnosis of deviations in quality of yogurt is performed by approved methods set out in

Cited by 4 publications

References 7 publications

A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread

A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread

Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas-Tomasi (KLT) algorithm based eigenvalue measurement

Evaluation of MTARSI2 Dataset for Aircraft Type Recognition in Remote Sensing Images

Contact Info

Product

Resources

About