National Natural Science Foundation of China (No.61175012, No.60872109);New Century Excellent Talents Foundation in University of Ministry of Education of China (No.NECT-06-0900)
ZHAO Rong-chang, MA Yi-de. A Novel Region Segmentation Algorithm with Neural Network for Segmented Image Coding[J]. Acta Electronica Sinica, 2014, 42(7): 1277-1283.
DOI:
ZHAO Rong-chang, MA Yi-de. A Novel Region Segmentation Algorithm with Neural Network for Segmented Image Coding[J]. Acta Electronica Sinica, 2014, 42(7): 1277-1283. DOI: 10.3969/j.issn.0372-2112.2014.07.006.
A Novel Region Segmentation Algorithm with Neural Network for Segmented Image Coding
A novel image region segmentation method is proposed to improve the efficiency and characteristic for segmented image coding.Based on human visual system and perceptive segmentation
a neural network with pulse-coupled and gradient-sharpened is introduced firstly.Then
a fitting function is used to smooth the neighboring similar stimulus and sharpen the non-continuous.In this way
neurons could find the accurate location of uniform regions and objective boundaries.At last
experimental results show the efficiency of the algorithm.The homogenous regions can be segmented from its background effectively and accurately.In addition
the segmented regions are corresponding to objects in scene.There are high-quality constructed image if this segmentation algorithm is adopted by segmented image coding.