Département de Mathématiques et Informatique

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Matière: Apprentissage automatique II

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Preprocessing of data : Image Processing

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What does preprocessing involve in the area of image processing.

Posté le 10:05, jeudi 5 déc. 2019 By Imed BOUCHRIKA
In Apprentissage automatique II


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Réponse (1)

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 pre procecing, is a common name for operations with images at the lowest level of abstraction and both input and output are intensity images. 

The aim of pre-processing is an improvement of the image data that suppresses unwanted distortions or enhances some image features important for further processing.

Posté le 18:31, jeudi 12 déc. 2019 by noussaiba ledjemel (23 points)
In Apprentissage automatique II



Réponse (2)

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Preprocessing improves the quality of the data by reducing artifacts

like if we are talking about detecting the moving cars then we have to think about eleminate the other moving stuff like the people or dos ...

Posté le 21:23, mardi 17 déc. 2019 by abd raouf ben tlidjane (9 points)
In Apprentissage automatique II



Réponse (3)

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processing image aims at selectively removing the redundancy present in captured image without effecting the details that play a key role in the overall process.

Posté le 21:14, vendredi 3 janv. 2020 by sihem djélamda (9 points)
In Apprentissage automatique II



Réponse (4)

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Pre-processing is a common name for operations with images at the lowest level of abstraction — both input and output are intensity images. These iconic images are of the same kind as the original data captured by the sensor, with an intensity image usually represented by a matrix of image function values (brightnesses).

The aim of pre-processing is an improvement of the image data that suppresses unwilling distortions or enhances some image features important for further processing, although geometric transformations of images (e.g. rotation, scaling, translation) are classified among pre-processing methods here since similar techniques are used.

Posté le 17:20, mercredi 8 janv. 2020 by Ben khalfallah Mouhamed Salah (14 points)
In Apprentissage automatique II



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