Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image classification method and convolutional neural network generation method

A technology of convolutional neural network and classification method, which is applied in the field of convolutional neural network generation, mobile terminals and computing equipment, and can solve problems such as unrealization

Inactive Publication Date: 2018-09-14
XIAMEN MEITUZHIJIA TECH
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this processing method is convenient for searching images according to categories, it cannot be realized if a certain image with specific information is to be quickly located. For example, a user has an impression of some text on an image, but other content Do not remember, at this time it is difficult to quickly and accurately obtain the desired image and the information contained in the image through the user's own recognition of the image category

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image classification method and convolutional neural network generation method
  • Image classification method and convolutional neural network generation method
  • Image classification method and convolutional neural network generation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0050] figure 1 is a structural block diagram of the mobile terminal 100. The mobile terminal 100 may include a memory interface 102 , one or more data processors, image processors, and / or a central processing unit 104 , and a peripheral interface 106 .

[0051] Memory interface 102, one or more processors 104, and / or peripheral interface 106 may be discrete components or integrated into one or more integrated circuits. In the mo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image classification method, a convolutional neural network generation method for image classification processing, a convolutional neural network generation method for recognizing words in images, a mobile terminal and calculation equipment. The image classification method is implemented in the mobile terminal; the mobile terminal comprises an image library; a pluralityof images are stored in the image library; the image classification method comprises the following steps: classifying images of the image library so as to obtain corresponding types; if a type is a text type, carrying out word recognition on an image, and extracting text information of the image; associating and storing the text information with an image storage route and an image name of the image.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image classification method, a convolutional neural network generation method for classifying images, a convolutional neural network generation method for recognizing characters in images, and a mobile terminal and computing equipment. Background technique [0002] With the continuous development of hardware technology, more and more people begin to use mobile terminals such as smartphones and tablet computers to take and store photos to record precious moments. When the number of photos stored in the mobile terminal is increasing, because there are many photos and they all belong to different categories, it often happens that a certain photo cannot be found in time, which brings poor experience to the user. [0003] The existing image classification algorithm usually divides the images in the photo album of the mobile terminal into various categories, and ma...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62G06K9/32G06K9/00
CPCG06V20/10G06V20/62G06V30/10G06F18/24G06F18/214
Inventor 林煜余清洲许清泉苏晋展张伟
Owner XIAMEN MEITUZHIJIA TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products