Mohamed BenkedadraUniversité de Mons · Department of Computer Science
Mohamed Benkedadra
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Citations since 2017
Introduction
I write code for fun and for profit.
Education
September 2015 - September 2020
Publications
Publication (1)
There are several studies on road lane detection but very few address adverse conditions for acquisition such as sun glare. Loss of details in underexposed images captured facing a low sun leads to misleading road lane detection. High Dynamic Range Imaging methods are used to acquire most details in such scenes. Unfortunately, these techniques are...
Questions
Question (1)
Hello,
I have been writing code for a paper and I'm reading an image in RGB space in OpenCV which means that its read as a 3D matrix (HEIGHT x WIDTH x 3 (RGB) ).
I'm flattening the image into a 2D matrix ( NB_PIXELS x 3 (RGB) ) using this code :
image = image.reshape(len(image) * len(image[0]), len(image[0][0]))
This flattening process is an important step in the method that I'm going over in the paper.
Since I can't have the paper depend on a library like NumPy I would like a more elegant way to explain the flattening. Are there any papers that I can reference or any equations, methods ..etc that I can use as a replacement to the code that I shared?
Thank you!
