Computer vision is a rapidly growing field, partly as a result of both cheaper and more capable cameras, partly because of affordable processing power, and partly because vision algorithms are starting to mature. OpenCV itself has played a role in the growth of computer vision by enabling thousands of people to do more productive work in vision. With its focus on real-time vision, OpenCV helps ...

Watershed transform is considered to be an important technique in image segmentation. It is the method for image segmentation in the section of mathematical morphology. Work of watershed segmentation proceeds using the neighboring pixels. We present a critical review of several definitions of the watershed transform and the associated sequential algorithms, immersion models and therefore parall...

Watershed transform is considered to be an important technique in image segmentation. It is the method for image segmentation in the section of mathematical morphology. Work of watershed segmentation proceeds using the neighboring pixels. We present a critical review of several definitions of the watershed transform and the associated sequential algorithms, immersion models and therefore parall...

Today, real-time processing has become a stipulation in all practical fields especially in image processing. This paper presents an experimental comparison of implementation of Niblack’s Algorithm, a binarization algorithm for image-processing in Visual C++ using OpenCV library with its implementation on FPGA. It aims at addressing the real-time processing scenario and how to overcome the situa...

OpenCV is a commonly used computer vision library containing a wide variety of algorithms for the AI community. This paper uses deep parameter optimisation to investigate improvements to face detection using the Viola-Jones algorithm in OpenCV, allowing a tradeoff between execution time and classification accuracy. Our results show that execution time can be decreased by 48% if a 1.80% classifi...

Watershed transform is considered to be an important technique in image segmentation. It is the method for image segmentation in the section of mathematical morphology. Work of watershed segmentation proceeds using the neighboring pixels. We present a critical review of several definitions of the watershed transform and the associated sequential algorithms, immersion models and therefore parall...

Watershed transform is considered to be an important technique in image segmentation. It is the method for image segmentation in the section of mathematical morphology. Work of watershed segmentation proceeds using the neighboring pixels. We present a critical review of several definitions of the watershed transform and the associated sequential algorithms, immersion models and therefore parall...