计算机科学 ›› 2010, Vol. 37 ›› Issue (10): 251-253.

• 图形图像 • 上一篇    下一篇

改进的二维Renyi嫡图像闭值分割

黄金杰,郭鲁强,逯仁虎,丁艳军   

  1. (哈尔滨理工大学自动化学院 哈尔滨150080)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(60576036),哈尔滨市优秀学科带头人专项基金项目(2007RFiXXG023},哈尔滨理工大学优秀拔尖创新人才培养基金项目(20070105}资助。

Image Threshold Segmentation Based on Improved Two-dimensional Renyi Entropy

HUANG Jin-jie,GUO Lu-qiang,LU Ren-hu,DING Yan-jun   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出一种基于灰度一梯度信息二维Rcnyi墒图像阂值分割新方法。首先,由图像灰度值和梯度值构造出二维直方图,在此基础上计算目标和背景区域的二维Renyi嫡,并使此嫡值函数最大,得到分割阂值。像素梯度信息和Renyi嫡可调参数相结合,可以处理更多类型的图像,同时分割得到的图像内部更均匀,边界形状更准确。

关键词: 图像分割,二维直方图,Rcnyi 熵 , 阈值选取

Abstract: This paper presented a new image threshold segmentation method based on improved two-dimensional Renyi entropy. First, two-dimensional histogram was build according to gray value and gradient value of the pixels, on this basis, calculated two-dimensional Renyi entropy of target and Background region, at last, we got segmentation threshold by maximizing the Renyi entropy function. It can handle more types of images and get more accurate shape of the image edge that pixels gradient information in combination with parameter of Renyi entropy which is adjustable.

Key words: Image segmentation,Two-dimensional histogram, Renyi entropy,Threshold selection

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