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tansyqinyrproj

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tansyqinyrprj

Digital image processing project

1. Function list

OCR extraction ID picture text information
Style migration: candy, starry sky, Picasso, muse, mosaic, Kanagawa surf, Dada attention, shout, feather
Basic functions: 39 in total. Summer and pepper noise, smooth average, smooth medium value, smooth Gaussian; image sharp-Raplaz operator, image sharp-sobel operator horizontal direction, image sharpness-sobel operator vertical direction, dual linear use of images with dual linearity Expand the interpolation method, move the image left 30 pixels, move down 50 pixels, rotate 45 degrees, and the zoom factor is 1, rotary gray diagram, after gray degree, two-value-global threshold method, histogram balanced, gray gray, gray gray, gray Diger diagram, imitation transformation, perspective transformation, image flipping, RGB to HSV, HSV to obtain H, HSV to get S, HSV to get V, RGB to get B, RGB to get G, RGB to get R, horizontal flip, diagonal flipping, confrontation, confrontation, confrontation Mirror, image operation calculation, image closed calculation, corrosion, expansion, top hat operation, bottom cap operation, Houghlinesp implementation line detection, Canny edge detection, image enhancement, Roberts operator edge of image, prewitt suplacian edge, laplacian count Extract the edge of the image and the edge of LOG.

Second, technology stack

2.1 front -end development

Main development languages: HTML, CSS, JavaScript
Frontier Framework: Vue.js
Scaffolding: Vue-CLI
UI: Elementui
Code editor: Intellij IDEA
Data exchange: AXIOS
Front -end bag manager: npm
Front -end Construction Tool: Webpack

2.2 Back -end development

Main development language: python
Back -end framework: FLASK
Code editor: Intellij IDEA
Version control system: git
Cross-domain tools: Flask-Cors

Third, project operation

3.1 Installation dependencies

First of all, the TesserACT needs to be installed locally. The project uses Tesseractv4.0 version, and tesseract-ocr-setup-4.00.00dev.exe is installed locally.
1. ```
 PS D:xxx> tesseract -v
 tesseract 4.00.00alpha
 ...
```
TESSERACT language package download.
1. Download chi_sim.traineddata. Save chi_sim.traineddata files under /安装路径/Tesseract-OCR/tessdata path.

3.2 Modify configuration

Modify the configuration information in the config.py file.

3.3 Front -end operation

First enter the FIRSEND folder in Terminal, and enter the following commands in turn.

 # install dependency
npm install
# develop
npm run dev

If the start failure, try to delete the node_modules folder and the package-lock.json file to re-execute the above steps. If you still fail: try to reduce the local Node.js version, I use v12.17.0 .