Documentation
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Index ¶
- func GatherAndMedian(data []float32, index int32, mask []int32, buffer []float32) float32
- func MedianFilter3x3(output, data []float32, width int32)
- func MedianFilterLine3x3PureGo(output, data []float32, width int32)
- func MedianFloat32(a []float32) float32
- func MedianFloat32Slice9(a []float32) float32
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func GatherAndMedian ¶
Applies an element-wise Median filter to the sparse data points provided by the indices, with the local neighborhood defined by the mask, and stores the result in data
func MedianFilter3x3 ¶
Applies 3x3 median filter to input data, assumed to be a 2D array with given line width, and stores results in output. Copies over the outermost rows and columns unchanged.
func MedianFilterLine3x3PureGo ¶
Input data is three lines of given width. Applies a 3x3 median filter to these. Stores results in the middle row of the output, which must have the same shape as the input. Does not touch first and last column
func MedianFloat32 ¶
Calculates the median of a float32 slice Modifies the elements in place Array must not contain IEEE NaN
func MedianFloat32Slice9 ¶
Calculates the median of a float32 slice of length nine Modifies the elements in place From https://stackoverflow.com/questions/45453537/optimal-9-element-sorting-network-that-reduces-to-an-optimal-median-of-9-network See also http://ndevilla.free.fr/median/median/src/optmed.c for other sizes Array must not contain IEEE NaN
Types ¶
This section is empty.
Source Files