Advanced Image Segmentation Techniques: Mean Shift and Active Contour Models
1. Introduction
Image segmentation is a crucial step in image analysis, and with the continuous development of technology, more advanced methods are emerging. These new approaches aim to handle larger and higher - dimensional datasets. In this blog, we will explore two advanced segmentation techniques: mean shift segmentation and active contour models (snakes).
2. Mean Shift Segmentation
2.1 Background
Traditional optimal thresholding methods, which assume Gaussian gray - level distributions, face challenges in identifying parameters of pre - determined probability density functions. Mean shift image segmentation offers an alternative by avoiding the es
均值漂移与主动轮廓模型在图像分割中的应用
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