Image processing (part 3) Image Thresholding
by In this article (which is the 3rd episode of the image processing series) we will see how to use the image histograms we discussed in article 2 to do some basic editing.
Category: Image
Image processing posts
Image processing (part 2) the histograms
In the previous article we saw how our digital images were built and stored. This naturally brings us to the image histograms. Of course we don’t manage an image like we do for a text . Images are in fact just matrix (like a pixel map ), so first of all we need to analyse the image, and to do that we’ll take a look on the pixel histograms.
Image processing (part 1) the digital representation
In this article we will see and especially understand how images are stored in a computer just to make it usable by other softwares. In fact, this post is the first within a series that will allow us to approach image processing in general but also subsequently the place of Artificial Intelligence and especially Deep Learning in this discipline which is part of a set known as computer vision.
Form recognition / Image / RPA
Automate image straightening with Blue Prism and Python
In this article we will see how to automate image straightening with blue Prism and Python.
Data Access / Form recognition / Image / OCR
Straighten a poorly scanned text document with deskew
In this article I show you how in a few lines of Python code you can straighten a document that has for example been scanned crooked.
Form recognition / Image / OCR / Uses Cases
ID Card analysis
In this article we will see how we will be able to recover information (photo, and other information) from a scanned identity card. In this article we will use the OpenCV and tesseract libraries with Python.
Facial recognition in an image with OpenCV
Find out in this article how to use OpenCV to easily do facial recognition in a image.
Data Access / Image / OCR / Python / Text / Tutorials / Web Development
A REST service that processes invoices scanned in Python
In this post, I suggest you create a web service (RESTFul) in Python which will retrieve an image (JPEG) to analyze and process it in order to return the constituent elements.
HTR / Image / Text / Uses Cases
MNSIT: Recognizing the numbers (Part 2)
In this second part on MNSIT data, we will see how to edit and prepare the data to reach 97%.
