一种基于梯度的直方图阈值图像分割改进方法

A Histogram Threshold Value Image Segmentation Improvement Method Based on the Gradient

图像分割就是把图像分成一些具有不同特征而有意义的区域,以便进一步的图像分析和理解;图像增强就是从主观方面突出图像中有用的,感兴趣的细节部分,或是从客观方面改善图像质量,尽可能地逼近真实图像。分析了基于经典的灰度阈值图像分割在细节分割上的不足,结合图像增强中的微分梯度,对原有图像的细节进行锐化增强,从而达到改善分割后图像细节的效果。

The image segmentation is dividing the image into some different characteristic and meaningful parts,so that it can be further implemented the image analysis and understanding.The image enhancement is poping out the images＇ useful and interested details from the subjectivity or improving the image quality from the objectivity to approache the real image as far as possible.It analyzed the disadvantages about the threshold value image segmentation in the detail segmentation,and combined the gradient in the image enhancement,to sharpen the details on the original image,so that it can be improved the impact of the image after the image segmentation.