Patent ID: 8452088

Claim:
A content-based digital-image classification method comprising: describing the semantic content of an image by defining a set of N low-level features including quantities obtained from the image by use of predetermined logico-mathematical expressions; indexing the image to be classified to extract therefrom a feature vector formed by values assumed, in said image, by said N low-level features; and identifying a class of the image by processing the feature vector according to a processing algorithm, wherein said processing the feature vector according to a processing algorithm comprises: defining a feature space as a function of said N low-level features; splitting said feature space into a finite number of classification regions each of which is associated a respective image class, and each of which is the locus of the points of the feature space; associating said extracted feature vector with one said feature space; identifying a specific classification region containing the feature vector; and identifying one said image class associated with said classification region, whereby said image class is associated with the specific classification region identified, wherein said splitting said feature space into a finite number of classification regions further comprises utilizing a tree-structured classifier utilizing recursive partitioning of said feature space according to a predetermined partition criterion.