Image counting method based on Rensa single-chip microcomputer platform and chain codes

Abstract

The invention relates to the technical field of image counting, and discloses an image counting method based on a Rensa single-chip microcomputer platform and a chain code, and the method comprises the following steps: S1, inputting an image, and carrying out the binarization processing of the image, and obtaining a binary image; S2, processing the obtained binary image through a chain code algorithm to obtain multiple groups of sequences; S3, sending the obtained multiple groups of sequences to a Rensa single-chip microcomputer platform for analysis and processing, and storing the analyzed and processed multiple groups of sequences. According to the method, the input image is subjected to binarization processing, then the image subjected to binarization processing is processed through the chain code algorithm to obtain multiple groups of number sequences, and then the multiple groups of number sequences are analyzed and processed by the Rensas single-chip microcomputer platform; the image processed through the chain code algorithm is finally converted into the number sequences, so a sequence is directly processed through the Rensa single-chip microcomputer platform, so that the images are indirectly counted, and compared with a traditional mode, the mode is higher in image counting speed and efficiency.

Description

technical field [0001] The invention relates to the technical field of image counting, in particular to an image counting method based on a Renesas single-chip platform and a chain code. Background technique [0002] Image is the basis of human vision, an objective reflection of natural scenery, and an important source for human beings to understand the world and themselves. "Picture" is the distribution of light reflected or transmitted by an object, and "image" is the picture accepted by the human visual system. Impressions or cognitions formed in the human brain, images exist in all aspects of life, people's lives are inseparable from images, and images affect people's daily production and life, in order to better carry out social activities, images are often counted , the traditional image counting is generally to binarize the image, then scan the image, and then even count the scanned image. This method is not only inefficient for image counting, but also has a negative...

AI Technical Summary

Problems solved by technology

[0002] Image is the basis of human vision, an objective reflection of natural scenery, and an important source for human beings to understand the world and themselves. "Picture" is the distribution of light reflected or transmitted by an object, and "image" is the picture accepted by the human visual system. Impressions or cognitions formed in the human brain, images exist in all aspects of life, people's lives are inseparable from images, and images affect people's daily production and life, in order to better carry out social activities, images are often counted , the traditional image counting is generally to binarize the image, then scan the image, and then even count the scanned image. This method is not only inefficient for image counting, but also has a negative performance has certain requirements