Check patentability & draft patents in minutes with Patsnap Eureka AI!

Edge image algorithm realized based on ARM-Cortex M4 NB-iot chip architecture

An edge image and image technology, which is applied in the field of edge image algorithms to avoid development anomalies, reduce production costs, and improve storage efficiency

Pending Publication Date: 2021-03-26
SHENZHEN ZHONGKE ELECTRONICS CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no edge image technology that can fully meet the actual needs of image processing.

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
  • Edge image algorithm realized based on ARM-Cortex M4 NB-iot chip architecture
  • Edge image algorithm realized based on ARM-Cortex M4 NB-iot chip architecture
  • Edge image algorithm realized based on ARM-Cortex M4 NB-iot chip architecture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0028] Such as figure 1 As shown, an edge image algorithm based on the ARM-Cortex M4 NB-iot chip architecture disclosed by the present invention is implemented. In the specific implementation, firstly, the ARM-Cortex M4 NB-iot chip is configured in the internal RAM according to the size of the matrix window specified in advance. The area defines a fixed memory area for caching image data and intermediate storage, and initializes it.

[0029] After the system is initialized, the original image is grayscaled to avoid band distortion. When processing the edge, considering the uneven distribution of the histogram of the gray-scale histogram, the histogram equalization is performed on the gray-scale image. When analyzing the image grayscale, the histogram is used to observe the data and analyze the distribution state of the grayscale. When extracting the grayscale value of the image, there will be many zero values ​​in the grayscale histogram, which will affect the calculation, so...

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 edge image algorithm realized based on an ARM-Cortex M4 NB-iot chip architecture. The algorithm comprises the following steps of: (S1), calculating and allocating a memory space, and performing initializing; (S2), extracting the gray value of the image, and calculating the occurrence frequency of the numerical value of each gray level of the image in the image; (S3), calculating an accumulated histogram of the image, and converting the image into a new gray level range; (S4), changing the gray value of the image into a sequence, and calculating a gray correlation degree range of the image; (S5), selecting a threshold value, and judging whether the gray correlation degree of each point of the image meets the edge point requirement or not; and (S6), deleting the isolated points, and connecting the points with edge characteristics to obtain an edge detection result of the image. Through the above design, the edge image algorithm fills up the detection and processing of the NB-iot Internet of Things chip on the image at the present stage, can be well applied to the occasion of image processing, and the production cost of related image recognition type terminal products is reduced.

Description

technical field [0001] The invention relates to the technical field of edge image detection, in particular to an edge image algorithm implemented based on an ARM-Cortex M4NB-iot chip architecture. Background technique [0002] Edge is an important feature of an image, which is used in image processing such as image feature description, image analysis and recognition. But there is no edge image technology that can fully meet the actual needs of image processing. [0003] The ARM-Cortex M4 NB-iot chip has strong computing and storage functions. Combined with the NB-iot network architecture, as the core unit of the terminal, the ARM-Cortex M4 NB-iot chip carries the calculation of the algorithm and the wireless network of NB-iot. Network access requires wide coverage, large connections, low power consumption, and low cost. The algorithm monitors the network status before implementation, waits to enter the dormant state when it is in the active state, and then applies for comp...

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): G06T7/00G06T7/13G06T7/136G06T5/00G06T5/40
CPCG06T7/0004G06T7/13G06T7/136G06T5/40G06T2207/10004G06T2207/30148G06T5/70
Inventor 麻胜恒廖忠怀
Owner SHENZHEN ZHONGKE ELECTRONICS CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com