textureFlattening

Computational photographyfunctionOpenCV 5.0.0

import { textureFlattening } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

By retaining only the gradients at edge locations, before integrating with the Poisson solver, one washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge %Detector is used.

Note: The algorithm assumes that the color of the source image is close to that of the destination. This assumption means that when the colors don't match, the source image color gets tinted toward the color of the destination image.

textureFlattening(src: Mat, mask: Mat, dst: Mat, low_threshold: number, high_threshold: number, kernel_size: number): void;

4 available overloads

textureFlattening(src: Mat, mask: Mat, dst: Mat): void;

textureFlattening(src: Mat, mask: Mat, dst: Mat, low_threshold: number): void;

textureFlattening(src: Mat, mask: Mat, dst: Mat, low_threshold: number, high_threshold: number): void;

textureFlattening(src: Mat, mask: Mat, dst: Mat, low_threshold: number, high_threshold: number, kernel_size: number): void;

src: Input 8-bit 3-channel image.
mask: Input 8-bit 1 or 3-channel image.
dst: Output destination, filled by the native operation. Output image with the same size and type as src.
low_threshold: %Range from 0 to 100.
high_threshold: Value > 100.
kernel_size: The size of the Sobel kernel to be used.

Upstream declaration ↗

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