Slovakia

&quot;Color is one of the main features for the evaluation of fruit ripeness.
Part of the quality control is based on the ripening status, where fruits should be
placed with others with the same ripening phase. However, this color analysis
can be done automatically using computer vision techniques. This work
presents an evaluation of the ripeness status of bananas, based on the analysis of
the texture features obtained with a digital camera. The results aim to determine
which texture feature can provide better results for the automatic classification
of the bananas ripening phase.&quot;

IWSSIP 2021

Banana Ripening Classification using Computer Vision: Preliminary Results

texture feature

banana ripening

computer vision


IWSSIP is an international conference that brings together researchers and developers from both academia and industry reporting the latest scientific and theoretical advances to discuss and debate major issues and state-of-the-art aspects on systems, signals and image processing.

###### For the session discussion, each author will be seated at individual breakout tables.  Please find which table they will be at here:
###### [QA table assignments in Gather.town](https://drive.google.com/file/d/1hBHOD_KF7NSsaTcpYcHCZslXJvQVxJQe/view?usp=sharing)

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
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- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020 MAIN CONFERENCE

"Color is one of the main features for the evaluation of fruit ripeness.
Part of the quality control is based on the ripening status, where fruits should be
placed with others with the same ripening phase. However, this color analysis
can be done automatically using computer vision techniques. This work
presents an evaluation of the ripeness status of bananas, based on the analysis of
the texture features obtained with a digital camera. The results aim to determine
which texture feature can provide better results for the automatic classification
of the bananas ripening phase."

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https://d3smihljt9218e.cloudfront.net/transcript/14001/subtitle/f8a50c4d2e0cdff9615070b901df641a.vtt

English (automatic)

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Banana Ripening Classification using Computer Vision: Preliminary Results

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