An Image Retrieval System Using Spatial Database: An Image Processing Context With Software Metrics
Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. In this paper, symbolic images are represented in the form of Symbolic Image Database (SID) which is an invariant to image transformations and this SID is used for advanced match retrieval of queried images. The conventional pair-wise spatial relationships (9DLT matrix) approach is not robust as that of image invariant transformations. For invariant image transformations, a new concept called advanced direction of reference is introduced which preserved by a set of triples and they are represented by using Principal Component Analysis (PCA).