1. A method comprising: obtaining an image of a network section through which flow occurs; where the flow is selected from a group consisting of fluid, electrons, protons, neutrons and holes; minimizing visible light intensity differences in the image; subjecting the image to a low pass filter to reduce the images' high frequency components; computing a local mean of visible light intensity at each pixel that is present in the image; calculating a visible light intensity difference between each pixel and the local mean of visible light intensity and producing a differentiated image using this calculation; performing a wavelet transformation on the differentiated image; creating a base image of the differentiated image; where the base image comprises a hand segmented gold standard dataset; removing objects below a minimum threshold size from the base image; testing remaining objects in the base image for its ability to approximate a line; and retaining the remaining objects if they approximate the line; or alternatively reassembling disconnected objects if they demonstrate a least change in direction to form a repaired image of the network section.