Review of Improvement of Echo Cardiography Image based on Hybrid Technique in Data Mining

Gagan Sharma
2019 International Journal for Research in Applied Science and Engineering Technology  
Image enhancement is pre processinge method for qualitye improvement of image Echo cardio graphice is critical subjeect in infor matieon mininge and machine learning and it can be broadly utilized as a part of many fields. In this dissertatione a hybrid of improvement method based on wavelet transform function and neural networks is proposed. SOM were used to find correlation between noised and original DWT coefficients and approx imationse. Experi mentals results showed capability of proposed
more » ... ethod to remove noise in terms of peak signal to noise ratio and visual quality. Different architectures and different activation functions is considered. The experimental results show the mean with the traditional enhancement methods, in this technique threshold-based enhancement digital image enhancement algorithm for mixed digital image enhancement is relatively clear, especially in the extra noise, extra complexs cases", can show its better presentations. In the improvements process in order to effort better enhancements effect, the systems takes more time to pay; the other for color digitals images processings has not been a good results. Therefore, focus on late goals and improves the efficiencys of color image enhancementes. after all, the algorithm has a drawbacks of needings more computing time when select a largers hybrid generations. This will be a key problem to solution in the following work.
doi:10.22214/ijraset.2019.6128 fatcat:4ogvjmnclzf6hksfo22bes2tke