遥感影像分割高分辨率面向对象分析Image segmentation is the basis of pattern recognition and the first step for extracting the objects automatically from image using computer.This is significant for the application and analysis of remote sensing images.These years,with an increasing amount of high ...
质量评价Since different segmentation algorithms works well for different applications, quality evaluation of image segmentation is indispensable, and thus we introduce fuzzy measure into quality evaluation algorithm of image segmentation and propose a function that could change an image to the field of ...
Image segmentation is the basic technology in image process and computer vision fields, and also is the important part of most image analysis and computer vision system. Medical-image segmentation is the main applied domain in image segmentation. It is more and more important during clinical diagnos...
Threshold-based segmentation method is the most common and effective method of image segmentation, which is mainly the optimal threshold for image correlation algorithm, and extract the image to the target area of interest. This method has many methods, such as the maximum inter-class varia...
A computer-aided design system for three-dimensional medical image segmentation. Traditionally, computer-aided design (CAD) systems have been used for engineering design and drafting purposes. In this work, the concept of CAD systems has been extended to modeling of digital shapes obtained by segment...
这是一本非常经典的、专门阐述图像分割中众多方法中的 Variational methods。该方法是活动轮廓模型（或称...
Luo S, Li Y, Gao P et al (2022) Meta-seg: a survey of meta-learning for image segmentation. Pattern Recognit 126(108):586 Google Scholar Lu J, Yang J, Batra D et al (2016) Hierarchical question-image co-attention for visual question answering. In: NIPS, pp 289–297 ...
Furthermore, a new method that computes a superpixel-like over-segmentation of an image is presented that computes regions based on edge-avoiding wavelets. The evaluation on the SIFT Flow and Barcelona dataset will show that the choice of the superpixel method is crucial for the performance of ...
Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain???s anatomical structures, for analyzi...
2D entropy method has to pay the price of time when applied to image segmentation. In order to improve the segmentation precision and speed, both entropy methods are based on genetic algorithm. With these algorithms, most chromosomes in one scene can be separated in less than one minute, and...