A Bubble Area Extraction Method for Image Measurement of Aerated Water Flow Characteristic Analysis
掺气水流图象检测中的一种气泡区域提取方法

A new method based on two dimensional histogram and block clustering is proposed in this paper, in order to extract bubbles in the aerated water flows images. Firstly, the original image was divided into sub-images with different sizes in this method, to solve the uneven illumination of the image, which was result from the high intensity of bubbles defilade the low intensity bubbles in the image, and then the binary image of the sub-images were obtained. Secondly, block clustering is used to recognize the pure background blocks and dispose them in a special way. Thirdly, the bubble information is analyzed based on the definition of an evaluation function and an evaluation block in the binary image. Finally, a statistical characteristic analysis method is used to compensatethe overlapping bubbles, which were appeared in the original image, and it is also impossible to get high-accurate bubbles size by the method of image segmentation, and at the same time, optimal quantificational estimation of the bubble area square distribution was obtained. Many experimental results show that the method is efficient.