Opencv on ZK Punk

Select Sections From Images of Newspaper clippings, receipts etc Using Opencv and Python

Wed, 25 Sep 2019 13:53:05 -0500

We often take pictures of menus, receipts, and message boards etc. They are often not aligned properly. In this post, I will show you how to select the pertinet parts and allign them as correctly as possible.

Original	Processed

Let’s get started.

1. Find the anchor points Link to heading

We will first load the image of a newspaper clipping containing the sudoku puzzle. Next, we will find out the cordinates of the four corners of the puzzle in the original image.

Create and apply simple filters to an image using OpenCV and Python

Mon, 16 Sep 2019 13:55:46 -0500

In this blog post, I will show you how we can enhance our images using colored filters and add border backgrounds.

Original	Original w/ color filter	Original w/ color border

Let’s get started.

1. Simple color filter Link to heading

Lets start with first creating a color filter - an image with just a single color. This is as simple as creating a 3-D array and filling each pixel with the same value. In the code below I create an array of the same size (682,512,3) as that of the target image and fill each pixel with the color red (0,0,255).

Adding text to an image using OpenCV and Python

Thu, 22 Aug 2019 23:08:06 -0700

In a series of upcoming blog posts, I will be using OpenCV to manipulate images. In this post, I will be adding text to an image (below), I took of a Dervish monastery at the beautiful village of Blagaj in Bosnia.

Resized Original	Resized Original w/ text

Lets get started.

Read Image
Resize Image by aspect ratio
Add text to resized image
Save resized image with text

1. `cv2.imread()` - Read an Image Link to heading

The function cv2.imread() takes a path to the image file and reads it into a variable for further computations. You can use cv2.imshow() to display the image. However, the execution would be so fast, that you won’t be able to see the picture loaded. Hence, you would want to pause the program while it’s displaying the image using cv2.waitKey().