Digital Image Processing

E. Swathipriya ¹, N. Subha ¹, B. Gomathy ¹

Affiliations
1 Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, IN

Abstract

In recent times, Breast cancer has become one of the common disease among women. Few of the important ischolar_main causes for breast cancer is urbanization and adoption of modernized culture. Most of the cancer cases are diagnosed only during the last phase of the disease and thus early detection of the disease has become a crucial task. This paper analysis the performance of four classification algorithms on a breast cancer dataset and speculates the ideal one. Based on the accuracy, appropriate algorithm is chosen and the useful information thus obtained as an outcome is used for breast cancer Diagnosis. During the prediction process Rapid miner 6.0 tool is used to apply data mining algorithms on the cancer dataset.

Keywords

Classifier, Decision Tree, Entropy, Information Gain, Linear Regression, Pruning, Support Vector Machine.

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S. M. Ramesh ¹, A. Shanmugam ¹, B. Gomathy ²

Affiliations
1 Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Satthyamangalam-638401, IN
2 Department of Computer Science Engineering, Bannari Amman Institute of Technology, Satthyamangalam-638401, IN

Abstract

The SPIHT image compression algorithm is modified for application to large images with limited processor memory. The sub band decomposition coefficients are partitioned into small tree-preserving spatial blocks which are each independently coded using the SPIHT algorithm. The bit streams for each spatial block are assembled into a single final bit stream through one of two packetization schemes. The final bit stream can be embedded in fidelity with a small expense in rate. SPIHT encoding and decoding of the spatial blocks can be done in parallel for real-time video compression.

Keywords

Decomposition, SPIHT Algorithm, Packetization, Sub-Bitstream.

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