针对图像阈值分割中二维灰度直方图和模态法的不足,提出了一种基于邻域差值之和与直方图凹面相结合的图像分割算法,并将此方法与二维直方图方法在板栗、苹果和猕猴桃的X射线图像分割中的效果进行了对比试验.试验结果表明,本方法的图像分割误差小于2.1％,最大分割误差仅是二维直方图简便算法分割误差的23.7％,能够更精确地提取果品的图像.%In order to overcome the limitation of image segmentation methods based on 2-D histogram and modality in threshold techniques, a method based on the combination of the histogram concavity and the sum of the neighborhood differences was proposed. In addition, the comparative experiment was done when the proposed method and 2-D histogram methods were applied in segmentation on X-ray images of chestnuts, apples and kiwifruits. The results showed that the image segmentation error of the proposed method was less than 2. 1% , and its biggest segmentation error was only 23. 7% of that of 2-D histogram method. The proposed method could get the fruits' images more precisely.
展开▼
