Increase or decrease brightness and contrast.Scale images in the X and Y directions to make them larger or smaller.Color, Gray and black-and-white images vectorization.Output vector formats: DXF, HPGL, EMF, WMF and others.Input image formats: BMP, JPG, TIF, GIF, PNG, PCX, TGA, RLE, JPE, J2K, JAS, JBG, MNG and more.Img2CAD is a stand-alone program that converts scanned drawings, maps and images into accurate vector files (such as DXF, HPGL, WMF, EMF, etc) for editing in any CAD application. Either way you will probably get a lot of outliers that you want to filter out.Img2CAD converts jpg to dxf,jpg to dwg,bmp to dxf,jpeg to dxf,jpeg to dwg,tiff to dwg,tif to dwgĬonvert images to DXF, HPGL, WMF, and EMF. There is also LSD although from memory I think this detector is intended for real world images but either should be fine. OpenCV has a function which you can use for this: HoughLinesP. I would suggest using a probabilistic Hough transform to detect the line segments. If you choose to constrain the problem to just look for straight lines in an image and generate a dxf file containing those lines then I think that should be achievable. I don't have any specific recommendations here but there will be python libraries available for it The problem of extracting text from images, called OCR (Optical character recognition).There are very good libraries such as openCV and scikit-image with implementations of computer vision algorithms which you may find useful.The general problem of understanding the content of images is the field of 'computer vision'.You asked for where to start so I will give you an overview of where you might want to look: I don't want to discourage you but this is a very challenging problem. At that point, constructing a dxf file from the geometry is almost trivial in comparison. The main challenge will be extracting the geometry from the image. A bitmap image consists of pixels not geometric objects such as lines.
It depends on what you want the scope of the problem to be.
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