Adaptive image steganography, identify exact color adaptive regions or the payload locations of the image to conceal the secret message. The counter measure for the adaptive image steganography is called as adaptive image steganalysis in which the hidden messages are extracted from the color adaptive regions of the image for a familiar or unfamiliar steganographic algorithm that was used for steganography. A blend of feature extraction and feature selection method eases working intricacy of image classifier. In feature extraction phase, ensemble of feature extraction methods and feature selection using enhanced ranking basked approach is done to improvise the extracted features and to produce the best features from the adaptive pixels to be considered for classification in this adaptive image steganalysis scheme. Overall structure of adaptable feature extraction methods, feature selection schemes and Convolution Neural Network image classification of the proposed system is figured out in this paper to exhibit better performance of the proposed method. © 2020 Alpha Publishers. All rights reserved.