@tensorflow/tfjs-core/dist/ops/image/threshold.d.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2021 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/image/threshold" />
import { Tensor3D } from '../../tensor';
import { TensorLike } from '../../types';
/**
 * Performs image binarization with corresponding threshold
 * (depends on the method)value, which creates a binary image from a grayscale.
 * @param image 3d tensor of shape [imageHeight,imageWidth, depth],
 * where imageHeight and imageWidth must be positive.The image color
 * range should be [0, 255].
 * @param method Optional string from `'binary' | 'otsu'`
 * which specifies the method for thresholding. Defaults to 'binary'.
 * @param inverted Optional boolean whichspecifies
 * if colours should be inverted. Defaults to false.
 * @param threshValue Optional number which defines threshold value from 0 to 1.
 * Defaults to 0.5.
 * @return A 3d tensor of shape [imageHeight,imageWidth, depth], which
 * contains binarized image.
 */
declare function threshold_(image: Tensor3D | TensorLike, method?: string, inverted?: boolean, threshValue?: number): Tensor3D;
export declare const threshold: typeof threshold_;
export {};