Invariant properties of a locally salient dither pattern with a spatial-chromatic histogram
This work addresses the need for robust visual features in image processing, but it is incremental as it builds upon an existing feature to enhance invariance.
The paper analyzed the rotational and scale invariance properties of a locally salient dither pattern feature with a spatial-chromatic histogram, expanding its applicability for visual depiction in both regular and irregular shapes, and experimental results using an SVM classifier confirmed these invariance properties.
Compacted Dither Pattern Code (CDPC) is a recently found feature which is successful in irregular shapes based visual depiction. Locally salient dither pattern feature is an attempt to expand the capability of CDPC for both regular and irregular shape based visual depiction. This paper presents an analysis of rotational and scale invariance property of locally salient dither pattern feature with a two dimensional spatialchromatic histogram, which expands the applicability of the visual feature. Experiments were conducted to exhibit rotational and scale invariance of the feature. These experiments were conducted by combining linear Support Vector Machine (SVM) classifier to the new feature. The experimental results revealed that the locally salient dither pattern feature with the spatialchromatic histogram is rotationally and scale invariant.