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.