The field of computer vision has existed since the late 1960s. Image classification and object detection are some of the oldest problems in the field of computer vision that researchers have tried to ...
Contour Detection using OpenCV (Python/C++)
Knowing where an object is in an image is called localization in computer vision. Using contour detection, we can detect the borders of objects, and therefore, localize them easily. Importantly, ...
Super Resolution in OpenCV
Introduction Super-resolution refers to the process of upscaling or improving the details of the image. Follow this blog to learn the options for Super Resolution in OpenCV. When increasing the ...
Improving Illumination in Night Time Images
Introduction Taking good pictures in poor lighting conditions can seem like magic to non-photographers. It takes a combination of skill, experience and the right equipment to accomplish low ...
Photoshop Filters in OpenCV
Photo filters have always been one of the coolest image processing applications. What could be a better inspiration to design filters than taking ideas from Photoshop? Let's begin the fun! In ...
Getting Started with OpenCV CUDA Module
If you have been working with OpenCV for some time, you should have noticed that in most scenarios OpenCV utilizes CPU, which doesn't always guarantee you the desired performance. To tackle this ...
