A Novel Image Filtering and Enhancement Techniques for Detection of Cancer Blood Disorder

Cancer Blood Disorder has an impact on the development and operation of our blood cells. Blood disorders can affect platelets, blood plasma, white and red blood cells, or any one of the four main components of blood. Proposed work goal is to identify cancer blood condition. In this research, Images of cancer and blood disorder are preprocessed utilizing enhancement and filtration methods. In research suggested a 2D Hybrid Wavelet Frequency Domain Bilateral Filter (2D HWFDBF) for noise removal. To increase the clarity of an image, image enhancement is used. Apply, proposed a 2D Edge Preservation Histogram Improvement (2D EPHI) technique for image enhancement. Real time data set was collected for image preprocessing. The proposed filtering technique is very effective and produced the best result when compared to the other filtering techniques such as 2D Hybrid Median Filter, 2D Adaptive Log Color Filter and 2D Frequency Domain Filter. Proposed image enhancement technique carried out the best outcome when compared to the other techniques such as Contrast Limited Adaptive Histogram Equalization, Image Coherence Improvement and 2D Adaptive Mean Adjustment. MATLAB software can be used to implement the proposed system. To evaluate proposed system by using RMSE (Root Mean Square Error) and PSNR (Peak Signal to Noise Ratio). These outcomes are compared to the existing methodologies. Finally, results of filtering and enhancement techniques shows the better outcome than compared to the existing approaches.