Title :
Adaptive neuron-like network for a textural segmentation of images
Author_Institution :
Inst. of Cybern., Acad. Sci., Ukraine
Abstract :
Texture features extracted from the image at learning sample points are used for integrated description of the texture. The texture description has the form of an assembly of neuron-like elements, as the values of extracted features are associated with these elements. Each texture is represented by its assembly. The model of the neuron-like network described has been realized as a computer program. Operation of the model was tested on natural textures
Keywords :
feature extraction; image segmentation; image texture; neural nets; adaptive neuron like network; feature extraction; image segmentation; learning sample points; textural segmentation; Adaptive systems; Animals; Assembly; Biological neural networks; Brightness; Cybernetics; Image segmentation; Machine vision; Neurons; Robot vision systems;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268557