Package net.imglib2.interpolation.randomaccess

Class NLinearInterpolator2D<T extends NumericType<T>>

    • Constructor Detail

      • NLinearInterpolator2D

        protected NLinearInterpolator2D​(RandomAccessible<T> randomAccessible,
                                T type)

      • NLinearInterpolator2D

        protected NLinearInterpolator2D​(RandomAccessible<T> randomAccessible)

    • Method Detail

      • fillWeights

        protected void fillWeights()
        Description copied from class: NLinearInterpolator
        Fill the NLinearInterpolator.weights array.

        Let w_d denote the fraction of a pixel at which the sample position p_d lies from the floored position pf_d in dimension d. That is, the value at pf_d contributes with (1 - w_d) to the sampled value; the value at ( pf_d + 1 ) contributes with w_d.

        At every pixel, the total weight results from multiplying the weights of all dimensions for that pixel. That is, the "top-left" contributing pixel (position floored in all dimensions) gets assigned weight (1-w_0)(1-w_1)...(1-w_n).

        We work through the weights array starting from the highest dimension. For the highest dimension, the first half of the weights contain the factor (1 - w_n) because this first half corresponds to floored pixel positions in the highest dimension. The second half contain the factor w_n. In this first step, the first weight of the first half gets assigned (1 - w_n). The first element of the second half gets assigned w_n

        From their, we work recursively down to dimension 0. That is, each half of weights is again split recursively into two partitions. The first element of the second partitions is the first element of the half multiplied with (w_d). The first element of the first partitions is multiplied with (1 - w_d).

        When we have reached dimension 0, all weights will have a value assigned.

        Overrides:
        fillWeights in class NLinearInterpolator<T extends NumericType<T>>