Abstract: This paper used Matlab software to process and analyze images, focusing on the processing effects of different filtering methods on different types of noise. To verify the effectiveness of ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

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Colour quantization, the process of reducing the number of distinct colours in an image while maintaining visual fidelity, is a cornerstone of digital image processing and computer graphics. Rooted in ...

Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

Abstract: Edge detection is crucial in image processing and medical imaging. Various operators have been developed, including Sobel, Canny, Robert, and Prewitt. The Sobel edge detection algorithm is ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR ...

1 College of Mechanical Engineering, Guizhou Institute of Technology, Guiyang, China. 2 College of Food and Pharmaceutical Engineering, Guizhou Institute of Technology, Guiyang, China. Aiming at the ...