学术
一种直方图分段逼近的图像分割方法
冯涛[1] 方建安[2] 常学义[1]
[1]上海第二工业大学成人继续教育学院,上海200041 [2]东华大学,上海201620
摘 要:
对于图像灰度信息的分布可使用直方图进行分析。分析图像的直方图是图像处理中的一种常见的方法。对于在图像分割时难于得到图象分割的准确阈值问题，提出利用多项式对直方图包络线进行分段拟合，把图像分割阈值问题转化为求多项式极小值的问题，从而求出用于分割图像不同灰度层次的最优阈值的方法。实验结果表明，这种多项式分段拟合直方图包络线的方法具有比较好的直方图包络线拟合效果，可以为灰度图像的多层分割求出比较理想的阈值。[著者文摘]
文章出处:
《上海第二工业大学学报》-2007年24卷3期 -196-200页
分 类 号:
文献标识码:
A
文章编号:
1001-4543（2007）03-0196-05
A Method of Image Segmentation Based on Histogram Partition Approximation
FENG Tao, FANG Jian-an, CHANG Xue-yi（1. School of Adult and Continuing Education, Shanghai Second Polytechnic University, Shanghai 200041, P.R.China 2. Dong Hua University, Shanghai 201620, P.R.China）
Abstract:
The image gray gradation information generally manifests in the histogram. Analyzing the histogram of image is a useful method in image processing. It is difficult to obtain the accurate segmentation threshold of the image. This paper uses the multinomial to approximate the histogram envelope curve by different phase. So the question of how to obtain the accurate segmentation threshold of the image can convert into the solution of the minimum of multinomial, Using this method it can be solved the question how to segment the image more accurately. The experimental result indicated that the method of the multinomial partition fitting histogram envelope curve can obtain good fitting effect; this method may solve the best segmentation threshold that can be used in segmentation image with different gray gradation.[著者文摘]
Key words:
histogram; function minimum; multinomial; optimal threshold; image segmentation
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