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

A Method of Log Counting Based on Image Recognition

A counting method and image recognition technology, which is applied in the field of image processing, can solve the problems of high image shooting requirements and large interference factors, and achieve the effects of reducing image quality requirements, high accuracy, good adaptability and reliability

Active Publication Date: 2018-12-28
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

(Hou Weiyan, Hou Zhaoyang. Image recognition and counting algorithm for bundled bars [J]. Automation Instrumentation, 2016(5).) 5. Threshold segmentation method. This method divides the log image through threshold value and uses corrosion and other operations. Segment each log area for statistics, but this method has high requirements for image shooting and large interference factors

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
  • A Method of Log Counting Based on Image Recognition
  • A Method of Log Counting Based on Image Recognition
  • A Method of Log Counting Based on Image Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] Step 1. Preprocessing the captured image of the log to obtain a normalized image of the detection area. The image preprocessing includes: image interception, image grayscale, image scaling, and median filtering.

[0054] (1) The image input is generally an image in RGB format.

[0055] (2) Image interception adopts manual interception method, and intercepts the effective area containing logs.

[0056] (3) The grayscale conversion formula is Gray=(306*R+601*G+117*B)>>10, the grayscaled image is as follows figure 2 shown;

[0057] (4) Image scaling adopts proportional scaling by default, and scales the width of the image to 500.

[0058] (5) Median filtering is performed on the transformed image to filter out noise interference.

[0059] Step 2, calculate the appropriate threshold, segment the background area, and obtain the area where the log is located; the method of calculating the threshold is: first, count the histogram of the gray image of the log, and calculate...

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 identification-based round log counting method, in particular to a method for performing round log quantity statistics according to a multi-threshold segmentation result of an image, and belongs to the technical field of image processing. The method comprises the steps of extracting a background region from a preprocessed image firstly, then performing binarization on the preprocessed image by adopting a multi-thread segmentation method, and extracting an alternative round log region by adopting a linear segment and connected region search method; and processing the extracted alternative round log region by utilizing threshold segmentation, morphological operation and the like, finally extracting a connected region center which meets a round log condition, and performing counting. The method has low requirement on the round log shape, effectively solves the problems of non-uniform light conditions of outdoor shooting and the like, and has relatively high practicality and reliability.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a log counting method based on image recognition, in particular to a method for segmenting log regions by using multiple thresholds to count the number of logs. Background technique [0002] At present, in the process of timber transportation, the way of inspection and inspection of timber loaded on vehicles is mainly manual, which is labor-intensive, low-efficiency, and error-prone. Therefore, more and more researches have been done on the automatic identification of wood counting. [0003] The wood recognition method based on image recognition is mainly a method to obtain the number of wood by processing the images of neatly arranged wood. Wood counting mainly involves steps such as wood image acquisition, wood image processing, wood area segmentation, and wood clustering. [0004] At present, there are mainly the following methods for log counting: 1. Th...

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 Patents(China)
IPC IPC(8): G06T7/11G06T7/136G06M11/00
CPCG06M11/00G06T2207/30161
Inventor 孙涵王立春
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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