First,we research the problems that existed in the conventional color histogram,and present a new color histogram;and then,we extract the shape feature of image by using edge direction histogram of non-segmentation,which is simple and effective,and performs retrieval independent of translation,scaling,and small viewing position variations.

We improve the algorithm from the following aspects:first,we have changed the calculation formula of the original EOH (edge orientation histogram) to gain more descriptive ability.

Here presents a new Mean-Shift algorithm based on edge orientation histograms,using edge information and texture information as characters.

This paper describes an extraction method of shape feature of images based on edge direction histogram.

This paper presents a new mean shift algorithm based on spatial edge orientation histograms,using space distribution and texture information as matching information.

Automatic extraction of main roads based on symmetrical edge orientation histogram;

A new shape-based feature vector,symmetrical edge orientation histogram,for description of main roads in higher resolution aerial images is presented.

With thesymmetrical edge orientation histogram(SEOH)as the feature vector,the proposed algorithm segmentsand extracts main road seeds using the FCM method which takes the distribution of spatial data intoaccount,and extracts complete main road networks using the Snakes algorithm.