Significance-based self-adaption threshold segmentation and extraction algorithm of natural object image
An adaptive threshold, target image technology, applied in the field of image processing, can solve problems affecting image synthesis and so on
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[0078] The present invention will be described in detail below with reference to specific embodiments.
[0079] The present invention's saliency-based adaptive threshold natural target image segmentation and extraction algorithm comprises the following steps:
[0080] Step 1. Perform cluster segmentation and salient information extraction on natural target images to obtain mean salient images;
[0081] Step 1 includes the following steps:
[0082] Step 1.1. Create an M*N image matrix im, store the image matrix im as an input natural image, convert the natural target image from RGB color space to CIELAB color space, and save it as an image matrix labim;
[0083] The process of converting RGB color space to CIELAB(L*a*b*) color space is as follows. First, convert RGB color space to CIEXYZ color space according to formula (1),
[0084] X Y Z ...
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