Visible component classification method based on SVM

A classification method and tangible technology, applied in the field of image recognition, can solve the problems of limited accuracy, incomplete application of SVM recognition classification algorithm classification and recognition, etc., and achieve the effect of good application.

Active Publication Date: 2016-06-08
DIRUI MEDICAL TECH CO LTD
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Problems solved by technology

[0005] In view of the deficiencies in the above-mentioned prior art, the object of the present invention is to provide a method for classifying formed components based on SVM, aiming at

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  • Visible component classification method based on SVM
  • Visible component classification method based on SVM
  • Visible component classification method based on SVM

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Embodiment Construction

[0051] The invention provides a method for classifying shaped components based on SVM. In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] Such as figure 1 Shown is the SVM-based shaped component classification method of the specific embodiment of the present invention. The method can be specifically divided into two stages: an SVM training stage and a formed element recognition and classification stage.

[0053] Wherein, the SVM training phase includes:

[0054] S1. Obtain sample pictures containing several types of formed elements as training samples. The sample picture specifically refers to a medical microscopic image containing vario...

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Abstract

The invention discloses a visible component classification method based on SVM. The method comprises the following steps of in a SVM training phase, A, acquiring a sample picture containing several kinds of visible components and taking the sample picture as a training sample; B, segmenting the sample picture into several visible component images; C, extracting an image characteristic of the visible component images, classifying the visible component images based on the image characteristic and constructing several cascaded visible component picture databases; D, constructing several cascaded SVM classifiers and using the corresponding visible component picture database to train; in a visible component identification classification phase, E, extracting the image characteristic of the visible component images to be identified and classified; F, based on the image characteristic, assigning the visible component images to the corresponding SVM classifiers to carry out identification and classification. The plurality of cascaded SVM classifiers are used to carry out multilevel classification on a visible component graph so that classification accuracy of the SVM classifiers to the visible components is effectively increased.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method for classifying formed components based on SVM. Background technique [0002] Image recognition technology is a relatively popular technology in recent years. Whether it is license plate recognition, face recognition, fingerprint recognition or cell recognition, the object of recognition is relatively single, and in most cases, recognition and classification are realized based on neural networks. The neural network simulates the human nerves and is a simplified description of the cognitive behavior of the human brain. Without a complete theoretical system, it is easy to fall into a local minimum. [0003] SVM, or support vector machine, can get much better results than other algorithms on a small sample training set, and is currently one of the most commonly used and best classifiers. It has a complete theoretical system, is based on the theory of structural ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/00
CPCG06N3/002G06F18/2411
Inventor 任迪唐松
Owner DIRUI MEDICAL TECH CO LTD
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