tb_scale_y_funct_1d — 2D `typed` op

• Data kinds: signal → signal

• Call: fullseye.apply(img, "tb_scale_y_funct_1d", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

*No figure: this op takes signal as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*

Usage

Linear map of the y-values, `mult * y + add (HALCON scale_y_funct_1d`).

The x-grid is untouched (use :func:transform_funct_1d to move x too).

:param y: 1-D function (may be empty).

:param mult: finite multiplier.

:param add: finite offset.

:raises ValueError: non-1-D / NaN / Inf input, or non-finite parameter.

Typed bridge of the 1d op `scale_y_funct_1d into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives mult (default 1); b` is unused.

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept `signal` as input)

identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_smooth_funct_1d_mean · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d

Same category (`typed`)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tb_scale_y_funct_1d — 2D typed op