Preprocessing the input image
This section introduces some of the most common techniques that we can apply for preprocessing images in the context of object segmentation/detection. The preprocessing is the first change we make to a new image before we start working and extracting the information we require from it. Normally, in the preprocessing step, we try to minimize the image noise, light conditions, or image deformation due to a camera lens. These steps minimize errors while detecting objects or segments in our image.
推薦閱讀
- Python數(shù)據(jù)分析入門(mén):從數(shù)據(jù)獲取到可視化
- Hadoop與大數(shù)據(jù)挖掘(第2版)
- 文本挖掘:基于R語(yǔ)言的整潔工具
- 3D計(jì)算機(jī)視覺(jué):原理、算法及應(yīng)用
- 數(shù)據(jù)架構(gòu)與商業(yè)智能
- OracleDBA實(shí)戰(zhàn)攻略:運(yùn)維管理、診斷優(yōu)化、高可用與最佳實(shí)踐
- 一個(gè)64位操作系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)
- 深入淺出Greenplum分布式數(shù)據(jù)庫(kù):原理、架構(gòu)和代碼分析
- 爬蟲(chóng)實(shí)戰(zhàn):從數(shù)據(jù)到產(chǎn)品
- 云計(jì)算寶典:技術(shù)與實(shí)踐
- 實(shí)現(xiàn)領(lǐng)域驅(qū)動(dòng)設(shè)計(jì)
- 數(shù)據(jù)庫(kù)原理與設(shè)計(jì)實(shí)驗(yàn)教程(MySQL版)
- MySQL數(shù)據(jù)庫(kù)應(yīng)用與管理
- 數(shù)據(jù)庫(kù)技術(shù)與應(yīng)用:SQL Server 2008
- Hadoop大數(shù)據(jù)技術(shù)開(kāi)發(fā)實(shí)戰(zhàn)