数据科学与大数据分析学习笔记-10图像分析

图像分析是一个展开来说很大的部分，在这里仅整理了考试相关的理论部分。

Image analysis
– Refers to the representation, processing, and modelling of visual data to derive useful insights.
– Suffers from the semantic gap.
– Visual data (image, video, …) is unstructured.

Pixel colors can be:
– Full color
– Grayscale
– Black/white

• A richer color scheme requires more storage and retains more information.

举个例子: To recognize a person in a picture it is sufficient to use grayscale colors.
B/W color cannot recognizing a person, B/W color scheme may be suitable for tasks such as OCR.
– Too high of a resolution or too rich of a color scheme increases storage requirements, processing time.
– Too low of a resolution or too restricted a color scheme increases difficulty of an image analytics task and may result in having not enough information to solve the task. 

所以我们要一定选择最合适的方法。