image-color-utils
v1.3.2
Published
Operate image pixels, such as pickup color, color contrast, etc
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image-color-utils
DESC
Provide pickup color
, color similarity comparison
, color boundary value calculation
and other capabilities。
demo
codesandbox
Install
npm install image-color-utils --save
Usage
es
import { ImageColorUtils } from 'image-color-utils'
commonjs
const { ImageColorUtils } = require('image-color-utils')
API
# ImageColorUtils
import { ImageColorUtils } from 'image-color-utils'
const params = {
origin: img,
width: canvas.width,
height: canvas.height,
boundaryValue,
mockMovePx,
onload,
}
const imageColorUtils = new ImageColorUtils(params)
Arguments
Name | Desc | Type | Default | required ---- | ---- | ---- | ----- | ---- origin | 数据源(可以是 http链接 / ImageBitmap / HTMLImageElement ) | string / HTMLImageElement / ImageBitmap / | - | true width | 画板宽度 | number | - | false (不传参将根据图片宽高自适应,origin 为 ImageBitmap / HTMLImageElemen,必填) height | 画板高度 | number | - | false (不传参将根据图片宽高自适应,origin 为 ImageBitmap / HTMLImageElemen,必填) mockMovePx | 边界扫描距离(最大边界扫描距离, 扫描方向由内向外) | number | 30 | false boundaryValue | 色彩边界阈值(作用于色值相似度对比, 阈值越高,相似条件越高) | number | 10 | false onload | 加载完成 | ()=>void | - | false
Returns
Desc | Type -------- | -------- ImageColorUtils实例 | Object
# pickColor - 提取单个色值
import { ImageColorUtils } from 'image-color-utils'
const imageColorUtils = new ImageColorUtils({
origin: img,
width: canvas.width,
height: canvas.height
})
const res = imageColorUtils.pickColor(x, y)
Arguments
Name | Desc | Type | Default | required -------- | -------- | -------- | -------- | ----- x | 目标点距离画布左上角x坐标 | number | - | true y | 目标点距离画布左上角y坐标 | number | - | true
Returns
Desc | Type -------- | -------- 目标点 rgb 色值 | number[]
# pickColors - 提取图片色值
import { ImageColorUtils } from 'image-color-utils'
const imageColorUtils = new ImageColorUtils({
origin: img,
width: canvas.width,
height: canvas.height
})
const res = imageColorUtils.pickColors()
Returns
Returns
Desc | Type -------- | -------- 图片色值 | {rgb: string[], hex: string[] }
# adjust - 色彩边缘计算
import { ImageColorUtils } from 'image-color-utils'
const imageColorUtils = new ImageColorUtils({
origin: img,
width: canvas.width,
height: canvas.height,
boundaryValue,
mockMovePx
})
imageColorUtils.adjust(leftTopPosition, rightBottomPosition)
Arguments
Name | Desc | Type | Default | required -------- | -------- | -------- | -------- | ----- leftTopPosition | 图片所选区域初始左上角坐标 | number[] | [] | false rightBottomPosition | 图片所选区域初始右下角坐标 | number[] | [] | false
Returns
Desc | Type -------- | -------- 边界计算后左上角坐标(x,y)及区域宽高(width,height) | Object:{x: number, y: number, width: number, height: number}
# compare - 色值相似度对比
import { ImageColorUtils } from 'image-color-utils'
const res = ImageColorUtils.compare(color1, color2, boundaryValue, type)
Arguments
Name | Desc | Type | Default | required -------- | -------- | -------- | -------- | ----- color1 | rgb 色值1 | number[] | - | true color2 | rgb 色值2 | number[] | - | true boundaryValue | 色彩边界阈值(作用于色值相似度对比, 阈值越高,相似条件越高) | number | 10 | false type | 颜色模型 | 'rgb' or 'lab' | 'rgb' | true
Returns
Desc | Type -------- | -------- 是否相似 | boolean
# hex2rgb - HEX色值转RGB色值
import { hex2rgb } from 'image-color-utils'
const rgb = hex2rgb(hex)
Arguments
Name | Desc | Type | Default | required -------- | -------- | -------- | -------- | ----- hex | HEX色值 | String | - | true
Returns
Desc | Type -------- | -------- RGB色值 | number[]
# rgb2hex - RGB色值转HEX色值
import { rgb2hex } from 'image-color-utils'
const hex = rgb2hex(rgb)
Arguments
Name | Desc | Type | Default | required -------- | -------- | -------- | -------- | ----- rgb | RGB色值 | number[] | - | true
Returns
Desc | Type -------- | -------- HEX色值 | string
Attribute
import { ImageColorUtils } from 'image-color-utils'
const imageColorUtils = new ImageColorUtils({
origin: img,
width: canvas.width,
height: canvas.height,
boundaryValue,
mockMovePx
})
console.log(imageColorUtils.canvas)
console.log(imageColorUtils.ctx)
console.log(imageColorUtils.imageData)
Name | Type --- | --- canvas | OffscreenCanvas ctx | OffscreenCanvasRenderingContext2D imageData | ImageData