Interactive tools for image segmentation
نویسندگان
چکیده
Interactive tools for segmenting D and D images are presented These tools allow a user to quickly revise a segmentation result obtained from an automatic method A thresholding technique is described that nds a unique threshold value for each homogeneous region in an image The threshold value is found such that variance in the region is minimized under change in the threshold value Curve and surface tting methods are described that can accurately represent a region boundary in D or D with a parametric curve or a surface respectively A curve or a surface is optimized to minimize the number of control points representing a region with a prescribed accuracy The optimized curve or surface is then revised by moving its control points interactively Once a curve or a surface is found to accurately enclose a region of interest it is quantized to produce the nal D region contour or D region surface These interactive tools can be used to revise unsatisfactory results obtained from any automatic segmentation method
منابع مشابه
Quantitative Comparison of SPM, FSL, and Brainsuite for Brain MR Image Segmentation
Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...
متن کاملCluster-Based Image Segmentation Using Fuzzy Markov Random Field
Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...
متن کاملLive Mesh: an Interactive 3d Image Segmentation Tool
Image segmentation is the process by which objects are extracted from their surroundings in images. Segmentation in two dimensional images is a well-researched area, with both user-interactive and non-user-interactive tools to perform this function. While research has been done in three-dimensional image segmentation, few user-interactive tools exist that work directly in 3D. We present Live Me...
متن کاملLearning to Merge: A New Tool for Interactive Mapping
The task of turning raw imagery into semantically meaningful maps and overlays is a key area of remote sensing activity. Image analysts, in applications ranging from environmental monitoring to intelligence, use imagery to generate and update maps of terrain, vegetation, road networks, buildings and other relevant features. Often these tasks can be cast as a pixel labeling problem, and several ...
متن کاملInteractive Image Segmentation System for Visual Simulation
To use photographs in visual simulation such as synthesizing new images by overlapping an object in an image onto the other, physically significant regions corresponding to objects have to be segmented. Although a lot of researches have been done on fully automatic image segmentation technique, they are not always successful when the object to be segmented is complicated. As we have to segment ...
متن کاملPlundermatics: Real-time Interactive Media Segmentation for Audiovisual Analysis, Composition and Performance
This paper presents methods for real-time automated media segmentation, interactive audiovisual analysis, and media search in composition and performance tasks. In addition, we detail a use case where these tools have been deployed successfully as part of high profile public, national broadcast events, installations and exhibitions. These tools utilise a combination of data-mining and informati...
متن کامل