Write the basic idea of image recognition

Write the basic concepts of image recognition, as shown below:

The basic idea of image recognition is to convert an input image into a digital data form that can be processed by a computer. And these data are analyzed and processed to identify objects or scenes contained in the image. The following are the specific analysis steps:

1. image preprocessing

Denoising, smoothing, contrast enhancement, etc. Convert the image into a form suitable for analysis.

2. Feature extraction

-Extracting local features or overall features of an image by edge detection, color analysis and other methods.

3. Target detection

Based on feature matching and similarity measurement, it is determined whether the target object exists in the image.

4. Object classification

Classify the detected objects according to a specific classifier or deep learning model.

Expand knowledge:

-The commonly used algorithms in image processing include edge detection algorithm (such as Sobel operator and Canny operator) and color analysis algorithm (such as HSV space and LAB space).

-Object detection algorithms include traditional Haar features and HOG features, as well as modern algorithms based on deep learning, such as YOLO and faster R-CNN.

-There are many deep learning models for object classification, such as LeNet, AlexNet, VGG, Inception, ResNet, etc. Among them, ResNet performs best on ImageNet dataset.

-Image recognition is widely used in face recognition, automatic driving, intelligent security and other fields.