This paper has presented an approach for content-based image retrieval via isotropic and anisotropic mappings. Isotropic mappings were defined to be mappings invariant to the action of the planar Euclidean group - invariant to the translation, rotation and reflection of image data, and hence, invariant to orientation and position. Anisotropic mappings, on the other hand were defined to be those mappings that are correspondingly invariant. Structure extraction (via a perceptual grouping process) and color histogram were shown to be representations of isotropic mappings. Texture analysis using a channel energy model comprised of even-symmetric Gabor filters was considered to be a representation of anisotropic mapping. Results of retrieval of outdoor images by query and by classification using a nearest neighbor classifier were presented. Results obtained show the efficacy of combining structure, histogram and texture for retrieval.