Digital image classification method based on unlabeled data
A technology of digital images and classification methods, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc.
Active Publication Date: 2015-11-18
SOUTHEAST UNIV
View PDF4 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The main purpose of the present invention is to propose a method that can effectively use a large number of unclassified images to classify all possible categories of digital images for the current digital image classification technology that requires a large number of classified images and can only classify images into one category method
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0011] Such as figure 1 As shown, digital images to be classified are stored in the digital image storage device. In addition, there is a multi-label digital image library, which contains some classified digital images and a large number of unclassified digital images. Each digital image has multiple There are two possible categories, and the classified digital images correspond to a set of human-annotated concept labels. The user selects L classified query images and U unclassified query images from the multi-label digital image library and submits them to the digital image classification device, some of which are relevant images of interest and others are irrelevant images of no interest. Appropriate image features such as color, texture, shape, etc. can be generated using a variety of classical methods in digital image processing textbooks. Thus, each image can be represented by a feature vector. After the image features are obtained, an initial classification model is le...
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
Login to View More Abstract
The present invention provides a digital image classification method based on unlabeled data. The method comprises the following steps: (1) selecting, by a user, a query image from a multi-label image library that contains a classified image and an unclassified image, wherein the selected image comprises a relevant image and an irrelevant image; (2) learning, by using an existing classification method, on a classified digital image that is selected, to obtain an initial classification model; (3) performing learning and optimization for the initial classification model on all query images by using the classification method provided by the present invention, to obtain a final classification model; (4) classifying a to-be-classified image in a digital image storage device based on the final classification model, and returning a classification result; and (5) if a user satisfies with the classification result, executing step 6, otherwise, selecting more query images from the multi-label image library for feedback, and executing step 2; and (6) end the procedure. According to the digital image classification method based on unlabeled data, a large quantity of unclassified images can be effectively used to classify all possible categories of digital images.
Description
technical field [0001] The invention relates to a digital image classification device, in particular to a digital image classification method suitable for very limited classified images. Background technique [0002] With the rapid development of the Internet and the widespread popularization of computers, the acquisition of digital images has become easier and easier. Consequently, the available digital images are rapidly growing and being used in more and more industries. Image classification technology is a method to assist users to efficiently obtain desired images, and it is also the basis for the success of many image-related human-computer interaction systems, such as retrieval systems and recommendation systems. The method quickly and accurately classifies the unclassified images in the image database through the query images submitted by the user to the classifying device, so as to facilitate the user to obtain desired images. An effective image classification str...
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
Login to View More IPC IPC(8): G06F17/30
CPCG06F16/583
Inventor 张敏灵吴磊
Owner SOUTHEAST UNIV