全部文献期刊会议图书|学者科研项目
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作者:Alireza Sanaeifar , Adel Bakhshipour , Miguel de la Guardia
来源:[J].Talanta(IF 3.498), 2016, Vol.148, pp.54-61
摘要:Abstract(#br)Banana undergoes significant quality indices and color transformations during shelf-life process, which in turn affect important chemical and physical characteristics for the organoleptic quality of banana. A computer vision system was implemented in order to evaluat...
作者:Rong-Hui Miao , Jing-Lei Tang , Xiao-Qian Chen
来源:[J].Journal of Visual Communication and Image Representation(IF 1.195), 2015, Vol.29, pp.138-146
摘要:... Based on hue saturation value (HSV), hue saturation lightness (HSL) and hue saturation intensity (HSI) color space models, taking use of image analysis and classification technology, this paper realizes the classification of farmland images in different environments. On the b...
作者:Jian Cheng , Yaqi Ji , Haijun Liu
来源:[J].Remote Sensing(IF 2.101), 2015, Vol.7 (5), pp.6079-6106
摘要:A segmentation-based fully-polarimetric synthetic aperture radar (PolSAR) image classification method that incorporates texture features and color features is designed and implemented. This method is based on the framework that conjunctively uses statistical region merging (SRM) ...
作者:Tabassum Yesmin Rahman , Lipi B. Mahanta , Anup K. Das ...
来源:[J].Tissue and Cell(IF 1.038), 2020, Vol.63
摘要:... In this study, we have extracted the shape, texture and color features from the histopathological images collected indigenously from regional hospitals. A dataset of 42 whole slide slices was used to automatically segment and generate a cell level dataset of 720 nuclei. Next,...
作者:Nasser Behroozi-Khazaei , Mohammad Reza Maleki
来源:[J].Computers and Electronics in Agriculture(IF 1.766), 2017, Vol.142, pp.41-49
摘要:... This paper describes a robust algorithm based on artificial neural network (ANN) and genetic algorithm (GA) for segmenting grape clusters from leaves and background using color features near to harvest. GA was employed for optimizing of ANN structure and selecting supreme color features...
作者:Zied Elleuch , Kirmene Marzouki
来源:[J].Multimedia Tools and Applications(IF 1.014), 2017, Vol.76 (12), pp.13929-13951
摘要:During the past few years, the Bag-of-Words (BoW) model based on SIFT features has been one of the most adopted approaches by the Content-Based Image Retrieval (CBIR) systems. However, these CBIR systems have shown some weaknesses and shortcomings especially for large scale image...
作者:Vimal K. Shrivastava , Narendra D. Londhe , Rajendra S. Sonawane ...
来源:[J].Computer Methods and Programs in Biomedicine(IF 1.555), 2016, Vol.126, pp.98-109
摘要:...(#br)This paper presents a first comparative performance study of its kind using principal component analysis (PCA) based CADx system for psoriasis risk stratification and image classification utilizing: (i) 11 higher order spectra (HOS) features, (ii) 60 texture features, and...
作者:Vimal K. Shrivastava , Narendra D. Londhe , Rajendra S. Sonawane ...
来源:[J].Computers in Biology and Medicine(IF 1.162), 2015, Vol.65, pp.54-68
摘要:Abstract(#br)A large percentage of dermatologist׳s decision in psoriasis disease assessment is based on color. The current computer-aided diagnosis systems for psoriasis risk stratification and classification lack the vigor of color paradigm. The paper presents an automated ps...
作者:Naser Alfed , Fouad Khelifi
来源:[J].Expert Systems With Applications(IF 1.854), 2017, Vol.90, pp.101-110
摘要:... In this paper, an automatic skin cancer diagnosis system that combines different textural and color features is proposed. New textural and color features are used in a bag-of-features approach for efficient and accurate detection. We particularly claim that the Histogram of G...
作者:Kerstin Bunte , Michael Biehl , Marcel F. Jonkman ...
来源:[J].Pattern Recognition(IF 2.632), 2010, Vol.44 (9), pp.1892-1902
摘要:Abstract(#br)We investigate the extraction of effective color features for a content-based image retrieval (CBIR) application in dermatology. Effectiveness is measured by the rate of correct retrieval of images from four color classes of skin lesions. We employ and compare tw...

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