A multi-target rapid identification method based on a certain rule and applied to propolis soft capsules

An identification method and soft capsule technology, which are applied in image data processing, instrumentation, computing, etc., can solve the problems of unsatisfactory equipment detection speed and the rate cannot reach the production rate, etc., to reduce the processing range, improve the recognition speed, and improve the scanning speed. effect of speed

Active Publication Date: 2019-04-26
江苏蜂奥生物科技有限公司
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Then, for propolis soft capsules, propolis soft capsules are small particles, and the detection rate of a single single particle cannot reach the production rate of the

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 multi-target rapid identification method based on a certain rule and applied to propolis soft capsules
  • A multi-target rapid identification method based on a certain rule and applied to propolis soft capsules
  • A multi-target rapid identification method based on a certain rule and applied to propolis soft capsules

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0027] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments:

[0028] The invention provides a multi-target rapid recognition method based on certain rules applied to propolis soft capsules. The processing range of the target image is reduced based on certain rules, and the scanning speed of the image is increased; the algorithm based on the growth of the seed region can quickly identify The propolis soft capsule with obvious color characteristics avoids the second scan of the scanned area and improves the recognition speed.

[0029] A self-comparative detection method for identifying and detecting irregular appearance defects of ellipsoidal soft capsules, specifically including the following steps:

[0030] Step 1: Use a basler industrial camera to photograph the recognition detection area to obtain figure 1 The image to be processed is shown. The image coordinate system is x0y, with the positive x direction facin...

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 a multi-target rapid identification method based on a certain rule and applied to a propolis soft capsule, comprising the following steps: shooting an image containing multipletargets by using a camera, and carrying out multi-processing region division on the image according to the certain rule; Segmenting the target image according to the divided region, and reserving animage needing to be processed; Obtaining all pixel points of the target object for a method which needs to be processed and is based on seed region growth; And calculating a central point coordinate of the target object, obtaining a target position, and calculating a new processing area. According to the invention, the processing range of the target image can be reduced based on a certain rule, and the image scanning speed is improved; The propolis soft capsule with obvious color characteristics can be quickly identified based on the seed region growth algorithm, so that secondary scanning ona scanned region is avoided, and the identification speed of a plurality of targets is improved.

Description

technical field [0001] The invention relates to the technical field of image segmentation and target recognition, in particular to a multi-target rapid recognition method based on certain rules applied to propolis soft capsules. Background technique [0002] The detection of propolis soft capsules is an indispensable link in the production process of propolis. At present, the detection of propolis capsules in China still adopts a relatively backward artificial visual detection method. Traditional manual visual inspection often has the following disadvantages: long-term observation operation will cause visual fatigue to employees, and the false detection rate will be greatly increased; long-term light operation will often burden the naked eyes of employees and cause eye diseases. In order to solve the above problems, it is urgent to replace manual inspection with machine vision inspection. Then, for propolis soft capsules, propolis soft capsules are small particles, and the...

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): G06T7/00G06T7/13G06T7/64
CPCG06T7/0006G06T7/13G06T7/64G06T2207/10004
Inventor 张志胜田伟张勇林福金
Owner 江苏蜂奥生物科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products