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