Abstract: Image mining is different from low-level computer vision and image processing techniques because the focus of image mining is in extraction of patterns from large collection of images, whereas the focus of computer vision and image processing techniques is in understanding and/or extracting specific features from a single image. While there seems to be some overlaps between image mining and content-based retrieval (both are dealing with large collection of images), image mining goes beyond the problem of retrieving relevant images. In image mining, the goal is the discovery of image patterns that are significant in a given collection of images. Image understanding needs the help of knowledge; image mining provides a new approach to discover this knowledge. Image mining is a new research direction, and it need to research the basic theories and methods. Both concept lattice and cloud model provide the tools of formal concept analysis, which can be used to discover image knowledge from image data. The methods of image mining from image shape features are introduced here, which include the following basic steps: firstly pre-process images secondly use cloud model to extract concepts, lastly use concept lattice to extract a series of image knowledge.