image-processing | Image processing project for COMPSCI773 , University | Computer Vision library

In this article I've found some examples of using MutableImage with readPixel and writePixel functions, but I think it's too complicated, I mean, can I do that without ST Monad?

Let's say I have this

In page 116 of Multiple View Geometry, the graphs compare DLT error (solid circle), Gold Standard/reprojection error (dash square), theoretical error (dash diamond) methods of estimating a homography between figure a and the original square chess board. Figure b shows that when you use more point correspondences to do such an estimation, there is a higher residual error (see figure below). This doesn't make sense to me intuitively, shouldn't more point correspondences result in a better estimation?

I was trying to find code performing https://docs.gimp.org/2.10/de/gimp-filter-snn-mean.html in gimp codebase, but i am able to find only something looking like UI code (not actual math).

I want to peek at this code , my goal is to recreate this filter in python to implement image-processing-pieline designed by my colegue-artist in GIMP.

Learning Java while working on an image-processing project, I've noticed a bad habbit spring up: I will create an object which will create a different object, passing on some variables and said object in turn creates another object, passing on variables to create it. Often these objects are settings windows that require some user input.

In the end I find myself sometimes referring to parent-object methods/variables using TopObject.SecondObject.methodDoesThing(TopObject.SecondObject.variable,TopObject.variable);

all from within a third object even! Is this as terrible a practice as it feels? How do I avoid it? Should I be copy-pasting any methods I need to reuse? Should I pass on any variables needed in object 3 to object 2, even it 2 wont use it just to avoid calling back to public variables? Or is this fine and am I just overthinking things?

I am working on an algorithm to match the centroids of bacteria using computer vision.

As I'm an undergraduate and beginner to computer vision, I do not have code specifically for this problem. Just to provide some background, I'm using the following functions in my GUI.

The 'bact' variable refers to Bacteria objects, which stores each bacteria's ID, position, etc.

So I got two functions, one that analyze an image if it's grayscale and one that convert an image to grayscale. These use .NET System.Drawing.Bitmap GetPixel and SetPixel. It works but is quite slow and I read some that you lock the bitmap in memory for faster work.

Found some examples in C# but since having no experiencing in C# I'm a bit lost. example http://www.vcskicks.com/fast-image-processing2.php

Is it possible to do this in powershell?

here's the fuctions in powershell:

I want to extract the text from an image in python. In order to do that, I have chosen pytesseract. When I tried extracting the text from the image, the results weren't satisfactory. I also went through this and implemented all the techniques listed down. Yet, it doesn't seem to perform well.

Image:

Code:

I am trying to brush up my coding and cloud-computing skills by exploring Azure. I would like to automate some admin tasks that involves deciphering lot of handwritten documents and storing the text electronically.

The Python code below is a merge of two code sources.

1. A blog from Taygan Rifat https://www.taygan.co/blog/2018/4/28/image-processing-with-cognitive-services

2. Microsoft's own demo code over at https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/quickstarts/python-hand-text