摘要
为消除二值图像中的噪声,提高二值图像的质量,提出一种新的图像处理方法。对于图像中的黑斑区域以及物体内的像素空洞区域,对其中每个像素根据其周围环境以及在环境中所处的位置,类似于薄膜,为像素定义高度量,并采用二次曲线的方法计算每一个像素对应的高度,一幅图像便对应了一个高度场。然后根据选择的高度阈值,对每个像素进行调整,以减少噪声(缩小黑斑或缩小空洞)。以上过程经过若干次迭代,最后图像变化趋于稳定,此即最后的结果。通过实验结果可知,该算法具有较高的实用性。
In order to eliminate the noise in the binary image and improve the quality of the binary image,this paper presents a new image processing method. For the dark areas in the image and the pixel void area within the object,each pixel defined a high amount depending on its surrounding environment and the location in the environment,similar to the film,using quadratic function to calculate the height corresponding to each pixel,and one image corresponded to a height field. Then we adjusted each pixel according to the selected height threshold to reduce noise（ reduce dark spots or reduce the cavity）. The above process after several iterations,the final image changes tended to be stable,and that was the final result. The experimental results show that the algorithm has high practicability.
出处
《计算机应用与软件》
2017年第9期211-215,278,共6页
Computer Applications and Software
关键词
二值图像
去噪
高度场
Binary image
Denoising
Height field
