IMAGE EXTRACTION METHOD IMPORTNG INTO SDL MODEL

The invention refers to an image extraction method importing into SDL model in the field of information processing, and is characterized in that the target image are labeled artificially for plural times on computer data. The target image that has been labeled to be extracted for plural times will obtain the maximum probability value and scale of each parameter constituting the target image by machine learning. And the target image can be obtained from the sample computer data according to the maximum probability value or its scale range. The implementation effect of this method is to extract the required image arbitrarily from an image, eliminate the interference of background image affecting the result of image recognition, and improve the effect of image processing and the accuracy of image recognition, which is a new image processing algorithm that subverts the traditional binaryzation algorithm.