Image Compression and Reconstruction using Difference Chain Coded technique of Corner Detection

Discontinuity detection plays an important role in image analysis applications like image registration, comparison, segmentation, time sequence analysis and object recognition. This paper presents a new approach for Corner Detection using First Order Difference Chain-Encoding. The proposed method is based on integer operations it is very simple and efficient. Preliminary results are presented and evaluation with respect to standard corner detectors like Harris and Yung is done as a benchmark. More over high levels of compression can be achieved by our algorithm and the image can be reconstructed back to obtain the original edge map.