Publications

@article{gonzalez-castro_color_2014,

title = {Color Adaptive Neighborhood Mathematical Morphology and its application to pixel-level classification},

author = {Víctor González-Castro and Johan Debayle and Jean-Charles Pinoli},

url = {https://www.sciencedirect.com/science/article/pii/S016786551400021X},

year  = {2014},

date = {2014-01-01},

journal = {Pattern Recognition Letters},

volume = {47},

pages = {50–62},

abstract = {This paper explores spatially adaptive Mathematical Morphology (MM) for color images by generalizing the General Adaptive Neighborhood Image Processing (GANIP) approach. It introduces Color Adaptive Neighborhoods (CAN) as adaptive structuring elements (ASE) for morphological operations. The method, applied to various color spaces, outperforms other ASEs in preserving object borders and color transitions. The adaptive morphological operators are further applied to classify color texture images.},

note = {Publisher: North-Holland},

keywords = {Adaptive Structuring Elements, Color Images, image processing, mathematical morphology, texture classification},

pubstate = {published},

tppubtype = {article}

}