计算机与现代化 ›› 2011, Vol. 1 ›› Issue (3): 57-59.doi: 10.3969/j.issn.1006-2475.2011.03.015
• 图像处理 • 上一篇 下一篇
胡小丹，滕忠坚
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HU Xiao-dan, TENG Zhong-jian
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摘要： 图像分割是图像特征提取和图像识别的基础和前提，是图像研究中的热点之一。本文对目前图像分割的分类、最近几年出现的新方法、新思路以及传统图像分割中对噪声的处理进行比较简要的综述，针对噪声对图像分割的影响，提出利用噪声的统计特性建立噪声统计模型改进图像分割的新方法。
关键词: 图像分割方法, 噪声, 统计模型
Abstract: This article proposes a model based on the statistical features of noise to improve image segmentation. After a brief review of the current image segmentation and noise reduction methodologies, it presents a new model to improve image segmentation. In the new model, it preserves the original image with the noise and takes the noise as part of the region features to produce the better segmentation results.
Key words: image segmentation method, noise, statistical model
中图分类号:
TP391
胡小丹;滕忠坚. 基于噪声统计模型的图像分割方法[J]. 计算机与现代化, 2011, 1(3): 57-59.
HU Xiao-dan;TENG Zhong-jian. Image Segmentation Method Based on Statistical Model of Noise[J]. Computer and Modernization, 2011, 1(3): 57-59.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2011.03.015
http://www.c-a-m.org.cn/CN/Y2011/V1/I3/57
