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 ...
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...
Image segmentation is a prerequisite for image processing. There are many methods for image segmentation, and as a result, a great number of methods for evaluating segmentation results have also been proposed. How to effectively evaluate the quality of image segmentation is very important. In this...
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...
Ratios of relative abundance of nucleic acids a... Jain,N A. - 《Genome Research》 被引量: 927发表: 2002年 Spot Detection and Image Segmentation in DNA Microarray Data In this review, we present an overview of state-of-the-art methods for microarray image segmentation. We discuss the ...
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...
Image segmentation plays a crucial role in many medical-imaging applications, by automating or facilitating the delineation of anatomical structures and other regions of interest. We present a critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomi...
essential task for image analysis and pattern recognition. It is the procedure of dividing an image into its constituent regions, where the regions generally correspond to objects or parts of objects. There are a wide variety of methods in the literature for image segmentation. However, inaccur[...