Showing 4 open source projects for "entropy"

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  • 1

    MatQuantify

    An image processing tool

    ...MatQuantify can quantify various physical properties extracted from fluorescence microscopy images, such as area, lengths of various components, perimeter, eccentricity, fractal dimension, satellite objects and orientation. It can also measure textual properties including entropy, intensities and the standard deviation of intensities. Using MatQuantify, we studied the effect of knocking down the protein clathrin heavy chain (CHC) on the mitotic spindle. We analysed 217 microscopy images of untreated metaphase cells, 172 images of metaphase cells transfected with small interfering RNAs targeting the luciferase gene (as a negative control), and 230 images of metaphase cells depleted of CHC. ...
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  • 2
    jpegant

    jpegant

    Embedded JPEG encoder

    ...High speed and small memory usage is its main concern. It implements a subset of JPEG standard. Now the code contains JPEG decoder so if you decided to use nonstandard transform or entropy coding in encoder you still will be able to decode bitstream (provided that you keep the decoder in sync of course). Release 1.1 source code and Windows executables are on the download page. For the latest release code look into the repository in 'release-1-0' branch. The SSE2 inplementation is present in 'simd.0' branch in the repository.
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  • 3
    MandelHash

    MandelHash

    MD5 hash used to position and color two overlaid Mandelbrot sets.

    I'm using an MD5 hash of a username and password field to generate some entropy which is used to generate color pallets and positions / scaling of two Mandelbrot sets. These two images are overlaid to create interesting pictures which represent the entered credentials. I'm interested in all things security, this is mostly just for fun, but could possibly be used to help users identify mistakes in their password entry prior to submission and enforce a tighter failed password lockout policy. ...
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  • 4
    Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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