CONTOUR APPROXIMATION OF IMAGE RECOGNITION BY USING CURVATURE SCALE SPACE AND INVARIANT- MOMENT BASED METHOD

In an Image Processing Compression efficiency and accuracy are two important issues in designing any image compression system. Recent evolution in image technology has led to a high demand of shape-based image processing applications and shape manipulation tools. Shapes are important in many content oriented image applications, like pattern recognition, medical image analysis, face recognition, and image editing. The efficient compression of the image depends on various factors such as the environment considered for query image, the reading source and the channel for communication. We can recognize the original image from taken image for testing in different angles can be extracted by CSS plot and Invariant-Moment based method as shown in the below two cases. These factors affect the recognition of any given query image. The proposed CSS [1] based recognition algorithm found to be efficient in compression as compared to edge based compression for rotational and variable noise level. The suggested approach is to be developed using Matlab tool for image processing and retrieval techniques. INDEX TERMS—Image Recognition, Invariant Moment-Based Method, Curvature Scale Space Method. I