itk-wasm
Version:
High-performance spatial analysis in a web browser, Node.js, and reproducible execution across programming languages and hardware architectures.
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text/typescript
import Image from './interface-types/image.js'
import CastImageOptions from './cast-image-options.js'
import PixelTypes from './interface-types/pixel-types.js'
import IntTypes from './interface-types/int-types.js'
import FloatTypes from './interface-types/float-types.js'
/**
* Cast an image to another PixelType and/or ComponentType
*
* @param {Image} image - The input image
* @param {CastImageOptions} options - specify the componentType and/or pixelType of the output
*/
function castImage (inputImage: Image, options?: CastImageOptions): Image {
const outputImageType = { ...inputImage.imageType }
if (typeof options !== 'undefined' && typeof options.pixelType !== 'undefined') {
outputImageType.pixelType = options.pixelType
if (options.pixelType === PixelTypes.Scalar && outputImageType.components !== 1) {
throw new Error('Cannot cast multi-component image to a scalar image')
}
}
if (typeof options !== 'undefined' && typeof options.componentType !== 'undefined' && options.componentType !== inputImage.imageType.componentType) {
outputImageType.componentType = options.componentType
}
const outputImage = new Image(outputImageType)
outputImage.name = inputImage.name
outputImage.origin = Array.from(inputImage.origin)
outputImage.spacing = Array.from(inputImage.spacing)
outputImage.direction = inputImage.direction.slice()
outputImage.size = Array.from(inputImage.size)
// Deep copy the map
outputImage.metadata = new Map(JSON.parse(JSON.stringify(Array.from(inputImage.metadata))))
if (inputImage.data !== null) {
if (typeof options !== 'undefined' && typeof options.componentType !== 'undefined' && options.componentType !== inputImage.imageType.componentType) {
switch (inputImage.imageType.componentType) {
case IntTypes.UInt8:
case IntTypes.Int8:
case IntTypes.UInt16:
case IntTypes.Int16:
case IntTypes.UInt32:
case IntTypes.Int32:
case FloatTypes.Float32:
case FloatTypes.Float64:
switch (outputImage.imageType.componentType) {
case IntTypes.UInt8:
outputImage.data = new Uint8Array(inputImage.data)
break
case IntTypes.Int8:
outputImage.data = new Int8Array(inputImage.data)
break
case IntTypes.UInt16:
outputImage.data = new Uint16Array(inputImage.data)
break
case IntTypes.Int16:
outputImage.data = new Int16Array(inputImage.data)
break
case IntTypes.UInt32:
outputImage.data = new Uint32Array(inputImage.data)
break
case IntTypes.Int32:
outputImage.data = new Int32Array(inputImage.data)
break
case FloatTypes.Float32:
outputImage.data = new Float32Array(inputImage.data)
break
case FloatTypes.Float64:
outputImage.data = new Float64Array(inputImage.data)
break
case IntTypes.UInt64:
outputImage.data = new BigUint64Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = BigInt.asIntN(64, BigInt(inputImage.data[idx]))
}
break
case IntTypes.Int64:
outputImage.data = new BigInt64Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = BigInt.asUintN(64, BigInt(inputImage.data[idx]))
}
break
}
break
case IntTypes.UInt64:
case IntTypes.Int64:
switch (outputImage.imageType.componentType) {
case IntTypes.UInt8:
outputImage.data = new Uint8Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case IntTypes.Int8:
outputImage.data = new Int8Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case IntTypes.UInt16:
outputImage.data = new Uint16Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case IntTypes.Int16:
outputImage.data = new Int16Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case IntTypes.UInt32:
outputImage.data = new Uint32Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case IntTypes.Int32:
outputImage.data = new Int32Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case FloatTypes.Float32:
outputImage.data = new Float32Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case FloatTypes.Float64:
outputImage.data = new Float64Array(inputImage.data.length)
for (let idx = 0; idx < outputImage.data.length; idx++) {
outputImage.data[idx] = Number(inputImage.data[idx])
}
break
case IntTypes.UInt64:
outputImage.data = new BigUint64Array(inputImage.data)
break
case IntTypes.Int64:
outputImage.data = new BigInt64Array(inputImage.data)
break
}
break
}
} else {
// copy
const CTor = inputImage.data.constructor as new(length: number) => typeof inputImage.data
outputImage.data = new CTor(inputImage.data.length)
if (outputImage.data != null) {
// @ts-expect-error: error TS2345: Argument of type 'TypedArray' is not assignable to parameter of type 'ArrayLike<number> & ArrayLike<bigint>'
outputImage.data.set(inputImage.data, 0)
}
}
}
return outputImage
}
export default castImage