Опис технік попередньої обробки для сегментації фотографій

Abstract

In the realm of computer vision and image processing, effective preprocessing techniques play a pivotal role in enhancing the quality and facilitating accurate analysis of images. This article comprehensively explores several essential preprocessing techniques tailored for image segmentation applications - noise reduction, grayscale conversion, histogram equalization and 3D perspective distortion correction. Through a detailed analysis of each technique’s principles, applications, and impact on image analysis, this article provides insights into the crucial role of preprocessing in optimizing image segmentation processes, paving the way for more accurate and reliable results in various computer vision applications