TY  - JOUR
T1  - ZKIP and Mutual Information as Measure on Image Analysis
AU - Thiyagarajan, M. AU - Samundeeswari, S. 
JO  - Journal of Engineering and Applied Sciences
VL  - 5
IS  - 4
SP  - 290
EP  - 295
PY  - 2010
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2010.290.295
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2010.290.295
KW  - statistical zero knowledge
KW  -mutual information
KW  -similarity measure
KW  -texture
KW  -Image segmentation
KW  -interactive protocol
AB  - The researchers try to extract the component image virtually hidden in the principle image. Information theoretic quantities are used to measure similarity of images in a statistical frame work. Statistical method describes the texture in a form suitable for statistical pattern recognition. This is suggested from large primitives and fine structure of smaller primitives. Co-occurrence matrix method is used to edge frequency detection and separation. Here, we appeal to the mutual information to bring out the component image from a complete image presentation by statistical zero knowledge interactive protocol (statistical ZKIP).
ER  - 