Class AdaptiveThresholding

constructor

• new AdaptiveThresholding(
      method?: "mean" | "gaussian" | "median" | "midgray",
      k?: number,
      c?: number,
  ): AdaptiveThresholding

  Parameters

  • Optionalmethod: "mean" | "gaussian" | "median" | "midgray"

    Method name
  • Optionalk: number

    Size of local range
  • Optionalc: number

    Value subtracted from threshold

  Returns AdaptiveThresholding

_c

_k

_method

_kernel

• _kernel(): any[][]

  Returns any[][]

_predict_kernel

• _predict_kernel(x: any): any[][]

  Parameters

  • x: any

  Returns any[][]

_predict_statistics

• _predict_statistics(x: any): any[][]

  Parameters

  • x: any

  Returns any[][]

predict

• predict(x: number[][]): (0 | 1)[][]

  Returns thresholded values.

  Parameters

  • x: number[][]

    Training data

  Returns (0 | 1)[][]

  Predicted values