Image Mining: A New Approach for Data Mining Based on Texture

Image data mining can be done manually by slicing and dicing the data until a pattern becomes obvious. Or, it can be done with programs that analyse the data automatically. Colour, texture and shape of an image have been primitive image descriptors in Content Based Image Retrieval (CBIR) system. Primitive features of an image used to identify and retrieve closely matched images from an image database. It is very difficult to extract images manually from image database because they are very large. This paper presents a novel framework for texture information of an image and achieves higher retrieval efficiency than the shape features of an image. There is a trade-off between accuracy and computational cost. The trade-off decreases as more efficient algorithm is used to solve the problem and increases the computational power and will decreases the cost of the whole system as well.