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  2. Balanced histogram thresholding - Wikipedia

    en.wikipedia.org/wiki/Balanced_histogram...

    The following, is a possible implementation in the Python language: def balanced_histogram_thresholding ( histogram , minimum_bin_count : int = 5 , jump : int = 1 ) -> int : """ Determines an optimal threshold by balancing the histogram of an image, focusing on significant histogram bins to segment the image into two parts.

  3. Vector Field Histogram - Wikipedia

    en.wikipedia.org/wiki/Vector_Field_Histogram

    In robotics, Vector Field Histogram (VFH) is a real time motion planning algorithm proposed by Johann Borenstein and Yoram Koren in 1991. [1] The VFH utilizes a statistical representation of the robot's environment through the so-called histogram grid, and therefore places great emphasis on dealing with uncertainty from sensor and modeling errors.

  4. iDistance - Wikipedia

    en.wikipedia.org/wiki/IDistance

    The kNN query is one of the hardest problems on multi-dimensional data, especially when the dimensionality of the data is high. The iDistance is designed to process kNN queries in high-dimensional spaces efficiently and it is especially good for skewed data distributions, which usually occur in real-life data sets. The iDistance can be ...

  5. Blazed grating - Wikipedia

    en.wikipedia.org/wiki/Blazed_grating

    Since this condition can only exactly be achieved for one wavelength, it is specified for which blaze wavelength the grating is optimized (or blazed). The direction in which maximum efficiency is achieved is called the blaze angle and is the third crucial characteristic of a blazed grating directly depending on blaze wavelength and diffraction ...

  6. V-optimal histograms - Wikipedia

    en.wikipedia.org/wiki/V-optimal_histograms

    A v-optimal histogram is based on the concept of minimizing a quantity which is called the weighted variance in this context. [1] This is defined as = =, where the histogram consists of J bins or buckets, n j is the number of items contained in the jth bin and where V j is the variance between the values associated with the items in the jth bin.

  7. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the underlying message that is present in the data to others. [1] Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical ...

  8. Data Disappeared - HuffPost Highline

    highline.huffingtonpost.com/article/disappearing...

    The life-and-death implications of data can be highly technical and hard to convey. But looking at the kinds of data being erased, a clear narrative of political intent emerges. In 2017, Immigration and Customs Enforcement stopped publishing routine data about its enforcement raids, and it no longer updates the list of deaths occurring in its ...

  9. Histogram matching - Wikipedia

    en.wikipedia.org/wiki/Histogram_matching

    In typical real-world applications, with 8-bit pixel values (discrete values in range [0, 255]), histogram matching can only approximate the specified histogram. All pixels of a particular value in the original image must be transformed to just one value in the output image.