Shape-Based Analysis on Component-Graphs for Multivalued Image Processing

Shape-Based Analysis on Component-Graphs for Multivalued Image Processing

The extension of mathematical morphology to multivalued images is an important issue. This is particularly true in the context of connected operators based on morphological hierarchies, which aim to provide efficient image filtering and segmentation tools in various application fields, e.g.(bio)medical imaging, remote sensing, or astronomy. In this article, we propose a preliminary study that d...

Deformation analysis for shape and image processing

Connected Component Based Word Spotting on Persian Handwritten image documents

Word spotting is to make searchable unindexed image documents by locating word/words in a doc-ument image, given a query word. This problem is challenging, mainly due to the large numberof word classes with very small inter-class and substantial intra-class distances. In this paper, asegmentation-based word spotting method is presented for multi-writer Persian handwritten doc-...

Color Image Processing Using Principal Component Analysis

It is known since 1988 that utilizing linear dimension reduction gives appropriate lower dimensional representation of homogenous swatches of color images of the nature. Though, it is common to see serious research projects, even dated 2005, which are based on the fixed color space paradigm. In this thesis, first experimental evaluations are performed to compare the principal component analysis...

Principal Component Analysis in Image Processing

Principal component analysis (PCA) is one of the statistical techniques frequently used in signal processing to the data dimension reduction or to the data decorrelation. Presented paper deals with two distinct applications of PCA in image processing. The first application consists in the image colour reduction while the three colour components are reduced into one containing a major part of in...