Improving edge crystal identification in flood histograms using triangular shape crystals

Improving Temporal Joins Using Histograms

Edge Detection Based Shape Identification

Image recognition is the need of the hour. In order to be able to recognize an image it is of immense importance that the image should be distinguishable from the background. In the present work, an approach is presented for automatic detection and recognition of regular two dimensional shapes in low noise environments. The work has large number of direct applications in the real world. The alg...

Shape Representation and Retrieval Using Distance Histograms

Among all the issues related to Content Based Image Retrieval systems, retrieving images based on their shapes is an important one. Many approaches exist utilizing shape representation and comparison, e.g., the methods based on Fourier descriptors. In this thesis, we propose a novel method for shape representation. In our method, we calculate the centroid of a shape and choose a set of sample p...

Wavelength Demultiplexer using Heterostructure Ring Resonators in Triangular Photonic Crystals

In this paper a new type of wavelength demultiplexer using ring resonators in 2D triangular photonic crystal is presented. The designed demultiplexer contents two regions which each own a resonator. Two dielectric constants are used in this demultiplexer. These structures which are called hetero have the capability to be used in wavelength division multiplexing (WDM) systems. The average transf...

Watermarking text document images using edge direction histograms

This paper proposes a novel watermarking algorithm for grayscale text document images. The algorithm inserts the watermark signals through edge direction histograms. The concept of sub-image consistency is developed. The concept means the sub-images have similar-shaped edge direction histograms and it is shown to be valid over a wide range of document images. Algorithms to insert and detect wat...