Medical emergency was clearly visible during corona virus pandemic in 2020 and 2021 globally. Such services load were need to be reduce by the researchers at different level like, pharmaceutical, medical equipments, diagnosis, etc. This paper has work in field of chest image diagnosis for the prediction of COVID or not. For the analysis histogram color feature was extract from gray scale image and genetic cluster image values were used. Genetic clustering was done by butterfly algorithm. Extracted features were blocked into fix size vectors for the the training of neural network. Trained neural network classify the chest image into infected and non-infected class. Real X-Ray chest images were used for the experiment purpose. Results were compared with existing techniques of chest image classification

Image Data analysis, image processing, Genetic Algorithm, visual processing