Grain counting method for spike of single rice based on digital image processing technology

Grain counting method for spike of single rice based on digital image processing technology

  • CN 104,021,369 A
  • Filed: 04/30/2014
  • Published: 09/03/2014
  • Est. Priority Date: 04/30/2014
  • Status: Active Application
First Claim
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1. a Rice Panicle kernal number method of counting, the method comprising the steps of:

  • S1. set up correlationship between Rice Panicle characteristic parameter and its fringe portion kernal number, Rice Panicle primary tiller stalk, after straightened is processed, utilizes scanner to obtain fringe portion image, and fringe portion image is carried out to pre-service;

    S2. pretreated Rice Panicle image is carried out to morphology processing, adopt opening operation processing in mathematical morphology analyse reasonably to remove the part that structural element is little;

    Each hole is carried out to padding, utilize area-method to be less than the whole impurity eliminations of non-destination object of area definite value P;

    S3. Rice Panicle image features is the basic description of Rice Panicle image fundamental characteristics, be the theoretical foundation of setting up the mathematical model between Rice Panicle relevant feature parameters and kernal number, the present invention only Grain parts area features to Rice Panicle and Grain parts primary tiller stalk total length characteristic parameter extracts.S4. utilize least square method to set up mathematical model between Rice Panicle image Grain parts area features parameter and primary tiller stalk total length characteristic parameter and its kernal number.S5. adopt least square fitting to detect the correlationship between prediction kernal number and its actual kernal number of sample, mathematical model between Rice Panicle Grain parts area features parameter and primary tiller stalk total length characteristic parameter and its kernal number is verified, guaranteed practicality and the validity of these two kinds of models.

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