An enhancement in detection of brain cancer through image fusion


An important information provided by the medical image to diagnose the disease can be enhanced through image fusion using different modalities. This paper introduces the fusion process which allows combination of features of different modality images. It consists of application of Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA) based fusion to multi-modality medical images, results in an easy and reliable technique to detect cancerous tissues through image fusion. The system defined below covers the PCA and DWT based image fusion quality analysis for detection of cancer tumour and the experimental results gives the effectiveness of fusion rule based on principal component analysis and discrete wavelet transform which preserves the original structural information from source image and also enhances the relevant information from the same.

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@article{Atyali2016AnEI, title={An enhancement in detection of brain cancer through image fusion}, author={Rohit Kempanna Atyali and Shivchandra R. Khot}, journal={2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)}, year={2016}, pages={438-442} }