Feature Extraction and Object Recognition

特征提取和物体识别

So, you've seen how to detect consistent shapes with something like the Hough transform that transforms shapes in x-y coordinate space into intersecting lines in Hough space.
你已经知道了如何用霍夫变换探测连续的形状，将xy的坐标空间转换为霍夫空间的相交线。

You've also gotten experience programming your own image filters to perform edge detection. Filtering images is a feature extraction technique because it filters out unwanted image information and extracts unique and identfiying features like edges or corners.
你已经通过编制自己的图像过滤器实现了边缘探测。过滤图像就是一种特征提取技术,因为它过滤掉了不需要的图像信息，留下了需要的图像特征，诸如边/角

Extracting features and patterns in image data, using things like image filters, is the basis for many object recognition techniques.
在图像数据中提取特征和模式，应用图像过滤的方式，是许多的物体识别技术中的基础

In the image below, we see a classification pipeline that is looking at an image of a banana; the image first goes through some filters and processing steps to form a feature that represent that banana, and this is used to help classify it. And we'll learn more about feature types and extraction methods in the next couple lessons.
在下图中，我门看见，以香蕉图片为例的一个分类流程，首先将图片用一些过滤器过滤，经过这些形成一个香蕉的特征，这个有助于对香蕉进行分类。下一步我们将要学习更多的特征形式和提取方法，在以后的两节课程中。