An image saliency detection method based on semi-supervised

Abstract

The invention belongs to the technical field of image saliency detection, and relates to an image saliency detection method based on semi-supervised. The method comprises the following steps: S1, establishing a coordinate system: establishing a plane coordinate system, establishing a plane coordinate system based on an operating system, establishing a plane coordinate system abscissa X, a longitudinal axis Y, and a coordinate origin O; S2, inserting an object and dividing an area; S3, object processing in the area unit; S4: prominent point highlights, background grammaticalization; 5, saving the area modular combination. In this scheme, the detection object is operated separately through the division of the region blocks, and the region blocks can be enlarged, each region block is taken asan individual unit, so that each region block does not affect each other, the boundary treatment is relatively completed, and the region blocks are operated separately, so as to reduce the recognition error of the identification object.

Description

technical field [0001] The invention relates to the technical field of image saliency detection, in particular to a semi-supervised-based image saliency detection method. Background technique [0002] In recent years, with the rapid development of multimedia technology and Internet communication, the problem of image classification has attracted the attention of many researchers, and various image classification algorithms have emerged in an endless stream. However, many traditional image classification algorithms are researched based on supervised learning, which requires a large number of labeled samples before training to establish an accurate classifier model and achieve correct classification. While this repetitive labeling work is time-consuming and expensive, it is easy to collect large numbers of unlabeled samples. For example, in computer-aided medical image analysis, a large number of medical images can be obtained from hospitals as training examples, but it is of...

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Problems solved by technology

[0007] The purpose of the present invention is to provide a semi-supervised-based image saliency detection method to solve the problem that the original image saliency detection method proposed in the above-mentioned background technology is likely to cause incomplete boundaries, errors in detection object recognition, and easy to cause incompleteness of prominent objects. exact question

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