- Practical Convolutional Neural Networks
- Mohit Sewak Md. Rezaul Karim Pradeep Pujari
- 161字
- 2021-06-24 18:58:53
How do computers interpret images?
Essentially, every image can be represented as a matrix of pixel values. In other words, images can be thought of as a function (f) that maps from R2 to R.
f(x, y) gives the intensity value at the position (x, y). In practice, the value of the function ranges only from 0 to 255. Similarly, a color image can be represented as a stack of three functions. We can write this as a vector of:
f( x, y) = [ r(x,y) g(x,y) b(x,y)]
Or we can write this as a mapping:
f: R x R --> R3
So, a color image is also a function, but in this case, a value at each (x,y) position is not a single number. Instead it is a vector that has three different light intensities corresponding to three color channels. The following is the code for seeing the details of an image as input to a computer.
- 數(shù)據(jù)存儲(chǔ)架構(gòu)與技術(shù)
- 從零開始學(xué)Hadoop大數(shù)據(jù)分析(視頻教學(xué)版)
- Python數(shù)據(jù)挖掘:入門、進(jìn)階與實(shí)用案例分析
- 復(fù)雜性思考:復(fù)雜性科學(xué)和計(jì)算模型(原書第2版)
- 醫(yī)療大數(shù)據(jù)挖掘與可視化
- Spark核心技術(shù)與高級(jí)應(yīng)用
- 大數(shù)據(jù)時(shí)代下的智能轉(zhuǎn)型進(jìn)程精選(套裝共10冊(cè))
- Python金融實(shí)戰(zhàn)
- 跨領(lǐng)域信息交換方法與技術(shù)(第二版)
- 深入理解InfluxDB:時(shí)序數(shù)據(jù)庫詳解與實(shí)踐
- 大數(shù)據(jù)技術(shù)原理與應(yīng)用:概念、存儲(chǔ)、處理、分析與應(yīng)用
- Oracle 11g+ASP.NET數(shù)據(jù)庫系統(tǒng)開發(fā)案例教程
- 信息融合中估計(jì)算法的性能評(píng)估
- 數(shù)據(jù)庫原理與設(shè)計(jì)實(shí)驗(yàn)教程(MySQL版)
- Access 2016數(shù)據(jù)庫應(yīng)用基礎(chǔ)