Summary
In this chapter, we saw how to create a complete project that manipulates images by applying different effects. We also split a color image into multiple matrices to apply effects to only one channel. We saw how to create look-up tables, merge multiple matrices into one, use the Canny and bilateral filters, draw circles, and multiply images to get halo effects.
In the next chapter, we will learn how to do object inspection, and how to segment an image into different parts and detect those parts.
推薦閱讀
- 有趣的二進(jìn)制：軟件安全與逆向分析
- Python數(shù)據(jù)分析入門：從數(shù)據(jù)獲取到可視化
- 智能數(shù)據(jù)時(shí)代：企業(yè)大數(shù)據(jù)戰(zhàn)略與實(shí)戰(zhàn)
- SQL優(yōu)化最佳實(shí)踐：構(gòu)建高效率Oracle數(shù)據(jù)庫的方法與技巧
- 計(jì)算機(jī)應(yīng)用基礎(chǔ)教程上機(jī)指導(dǎo)與習(xí)題集（微課版）
- INSTANT Android Fragmentation Management How-to
- 視覺大數(shù)據(jù)智能分析算法實(shí)戰(zhàn)
- Google Cloud Platform for Developers
- 區(qū)塊鏈技術(shù)應(yīng)用與實(shí)踐案例
- Hadoop 3實(shí)戰(zhàn)指南
- 區(qū)塊鏈+：落地場景與應(yīng)用實(shí)戰(zhàn)
- 數(shù)據(jù)挖掘競賽實(shí)戰(zhàn)：方法與案例
- Microsoft Dynamics NAV 2015 Professional Reporting
- 數(shù)據(jù)庫原理及應(yīng)用實(shí)驗(yàn)：基于GaussDB的實(shí)現(xiàn)方法
- C# 7 and .NET Core 2.0 High Performance