We have researched subjective interpretation for statistical texture images in order to clarify human subjective interpretation mechanism for images. We have focused on orientation interaction and color property, and unified those features by calculating the contrast over the entire image resolution. Next, we have measured psychological responses and corresponded them to our texture feature based on the canonical correlation statistics. We developed an image retrieval system for texture images based on our model. The results show that our model can retrieve images, which give a similar impression, and can predict images from some descriptive adjectives.