A Multi-Feature Image Segmentation and Localization Method Applicable to Spatial Non-cooperative Targets
A non-cooperative target and image segmentation technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of high algorithm time complexity, difficulty in satisfying real-time performance, and unsatisfactory segmentation effect, etc., achieving small time complexity , good regional feature representation, good segmentation and positioning effect
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[0035] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, and do not limit it in any way.
[0036] see figure 1 , a multi-feature image segmentation and positioning method applicable to spatial non-cooperative targets in the present invention, which mainly consists of image segmentation, superpixel primary and secondary direction ratio feature calculation, superpixel variance feature calculation, superpixel area perimeter feature calculation, and feature weighting Fusion and targeting consists of six parts.
[0037] The method specifically includes steps as follows:
[0038] 1. Image segmentation:
[0039] Select an image containing non-cooperative targets as the image to be processed, and apply the SLIC (Simple Linear Iterative Clustering) algorithm to segment the image into superpixels with the sa...
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