Tag: imaging
-
In image processing, the term morphology refers to a set of operations which analyzes shapes to fill in small holes, remove noises, extract contours, etc. A morphological operation is a lot like the filtering process in spatial convolution. There are two parts in play: a structuring element and a predefined...
Read more › -
Optimize Results for Effective OCR 1. Image Quality To optimize results for effective OCR, image resolution is important. For the usual font size (10 pts or above), a resolution of 300 dots per inch (DPI) is recommended. Smaller font sizes will command even higher DPI resolutions. Also, when scanning, you...
Read more › -
In the last post, we discussed a few common color models, specifically RGB, HSV, and YUV. A color model is an abstract mathematical model that describes how colors can be represented as a set of numbers. In this post, we will look at how to convert them to grayscale. Grayscale...
Read more › -
What is a Color Model? A color model is an abstract mathematical model that describes how colors can be represented as a set of numbers (e.g., a triple in RGB or a quad in CMYK). Color models can usually be described using a coordinate system, and each color in the...
Read more › -
Image processing and computer vision are hot trends in computer science that continue to show strong signs of momentum into the future due to their wide application and optimistic development prospects. In the first post of this blog series, we introduce the fundamentals of image processing by looking at what are images and how...
Read more ›