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

Image acquisition module automatic detection method and corresponding electronic device

A technology of image acquisition module and electronic equipment, which is applied in the field of image processing, and can solve problems affecting photo quality and difficult to distinguish lens stains, etc.

Active Publication Date: 2015-03-25
LENOVO (BEIJING) LTD
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] When users take pictures, it is often difficult to tell whether there are stains on the lens of digital camera products such as the back of Phone / Pad by naked eyes. Pollution, seriously affecting the quality of the photos taken

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 acquisition module automatic detection method and corresponding electronic device
  • Image acquisition module automatic detection method and corresponding electronic device
  • Image acquisition module automatic detection method and corresponding electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] The invention relates to an automatic detection method of an image acquisition module, which can be applied to any electronic device with a shooting and imaging function, such as a digital camera, a video camera, and a hand-held terminal such as a mobile phone, a PDA, a notebook computer, and the like.

[0067] This embodiment provides an automatic detection method of an image acquisition module, such as figure 1 shown, including:

[0068] Step S10: collecting images through the image collection module, and selecting at least two images from the multiple images collected as sample images;

[0069] All images can be used as sample images, or sample images can be selected according to the defects to be detected.

[0070] Step S11: analyze the sample image, judge whether the image acquisition module meets the acquisition requirements, if not, execute step S12; if yes, end this operation.

[0071] When analyzing sample images, the sample images can be compared to extract ...

Embodiment 2

[0079] The image acquisition module of this embodiment includes a lens, and if a stain is detected on the lens, a prompt message is displayed to remind the user that there is a stained area on the lens.

[0080] like image 3 As shown, the lens automatic detection method provided in this embodiment includes:

[0081] Step S20: collecting images through the lens, and selecting at least two images from the collected images as sample images;

[0082] In this embodiment, the time period parameter can be set, and the detection program can be started periodically according to the time cycle parameter; the image number parameter can also be set, and the detection program can be triggered according to the accumulated number of collected images; the detection program can also be started irregularly manually. Of course, the above ways of starting the detection program can be combined arbitrarily, and other more humanized ways can also be used to start the detection program, so as to sa...

Embodiment 3

[0124] The automatic detection method of the image acquisition module of the present embodiment comprises the following steps, as Figure 10 Shown:

[0125] Step S30: Collect images through the lens, and select multiple groups of continuously collected images as sample images;

[0126] The sample images selected in this embodiment include m1 groups of images, each group of images includes a plurality of continuously acquired images, and the acquisition time of these images from the current time is less than the preset duration threshold, where m1 is the set first A threshold for the number of image groups, m1≥2.

[0127] The multiple images collected continuously may be images collected in continuous shooting or camera mode.

[0128] Step S31: Determine whether there is a stain on the lens according to the analysis result of the sample image;

[0129] Step S32: If there is stain, generate and execute a prompt command.

[0130] further, such as Figure 11 As shown, in step...

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

An image acquisition module automatic detection method and a corresponding electronic device are provided; the method uses the image acquisition module to collect a plurality of images, and at least two images are selected to serve as sample images; analyzes the sample image so as to determine whether the image acquisition module complies with acquisition requirements or not; if not, a corresponding instruction is generated and executed; correspondingly, the electronic device comprises a selection module, an analysis module, and a processing module; the method and device can timely detect a blot zone, formed by defects of the image acquisition device, in a digital image, so a user can timely learn about the state of the image acquisition device so as to take measures, thus stopping videoing after the image acquisition device is polluted, and causing bad quality image to lost usage and preservation values.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a detection method of an image acquisition module and corresponding electronic equipment. Background technique [0002] At present, with the increasing popularity of digital camera products, electronic devices such as mobile terminals or Pads generally have cameras, and users such as Weibo enjoy the application software, which also promotes users' demand for the camera quality of handheld devices such as Phone / Pad . Therefore, the optimal processing technology of digital images has become a new research field. [0003] There are many factors that affect the quality of photos in actual use. One of the more typical reasons is that due to the poor sealing of the camera equipment, fine dust will enter the interior of the camera device and be adsorbed on the photosensitive element under the action of static electricity. will leave smudges in the photo. [0004] In the proc...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00H04N5/262
CPCG06T7/337H04N17/002
Inventor 彭刚
Owner LENOVO (BEIJING) LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com