Publications

@article{gonzalez-castro_adaptive_nodate,

title = {Adaptive texture description for semen vitality assessment},

author = {Víctor González-Castro and Enrique Alegre and Alexci Suárez-Castrillón and Óscar García-Olalla Olivera and María Teresa García-Ordás},

url = {https://d1wqtxts1xzle7.cloudfront.net/47501584/Adaptive_texture_description_for_semen_v20160725-8795-17ysl7b-libre.pdf?1469454941=&response-content-disposition=inline%3B+filename%3DAdaptive_texture_description_for_semen_v.pdf&Expires=1739193493&Signature=SPojfSyGRHX-PAT8i5lgMywJ52650XScp8t74YrAAbRnnZ0mPJbvVLYRGRVG3eNTcH0gHbWwIshfAz3ok9lb8gwRdrSSDSazEnRN5cYx8eBGm1rhAQ0WmI7Cwc0TaLMt1nk41LMRM4hROUQEF9P6YZShfswvVnj~e9IXqGrjksaOYlzuk7Y2zsIzg4jnkgk~w1gJeZ-gxUj~5mdtEESX7zDTdTrbyvs4Roiyoig8~jgMdtkCptWrABzqnovahSK9D-vjedWjo-EVaVue22Wa-k1z7hSSerV1X~AZt68BQqa2GqhwOxQ~qfJdpU4j8o88~hi6RcbTtsGj7-BE9vyWZA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA},

abstract = {In this paper an adaptive texture description method based on granulometry 

is proposed. It is a variant of the Pattern Spectrum, and both the adaptive 

and the ordinary descriptors are used to classify boar spermatozoa into 

dead or alive. A set of 845 boar spermatozoon heads were assessed and a 

back-propagation neural network was used in order to classify them. We 

have described both the original grey level images and the same images 

after applying a range texture filter on them. The best hit rates have been 

obtained when the adaptive Pattern Spectrum was used to describe the 

filtered images.},

keywords = {boar semen, granulometry, pattern spectrum, texture description},

pubstate = {published},

tppubtype = {article}

}