Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower...Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Centroid-Contour Distance (CCD) and Angle Code Histogram (ACH), to characterize the shape features of a flower contour. Experimental results showed that our flower region extraction method based on color clustering and domain knowledge can produce accurate flower regions. Flower retrieval results on a database of 885 flower images collected from 14 plant species showed that our Region-of-Interest (ROI) based retrieval approach using both color and shape features can perform better than a method based on the global color histogram proposed by Swain and Ballard (1991) and a method based on domain knowledge-driven segmentation and color names proposed by Das et al.(1999).展开更多
The progress of economy and social development is the driving force of translation research and practice.With the deepening of global development and cooperation,global ecology and green concept has become a topic of ...The progress of economy and social development is the driving force of translation research and practice.With the deepening of global development and cooperation,global ecology and green concept has become a topic of concern and is capturing increasing worldwide attention.Under this circumstances,green development has become the key to building global ecological civilization.“Strengthening ecological consciousness and green consciousness,shouldering ecological responsibility”has also become the main theme of the times.In response to this green trend,Green Translation lays stress on the green concept,green behaviour,and the green value in translation practice.The flower images,which take up a large proportion of plant images in Tang poetry,are of high ecological value and significance.This paper takes the Translation of 300 Tang Poems as the research subject,conducts a study on the image rendering of flowers in Tang poetry from the three aspects of Green Translation:language ecology,cultural ecology and communicative ecology.展开更多
基金Project (Nos. 60302012 60202002) supported by the NationaNatural Science Foundation of China and the Research GrantCouncil of the Hong Kong Special Administrative Region (NoPolyU 5119.01E) China
文摘Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Centroid-Contour Distance (CCD) and Angle Code Histogram (ACH), to characterize the shape features of a flower contour. Experimental results showed that our flower region extraction method based on color clustering and domain knowledge can produce accurate flower regions. Flower retrieval results on a database of 885 flower images collected from 14 plant species showed that our Region-of-Interest (ROI) based retrieval approach using both color and shape features can perform better than a method based on the global color histogram proposed by Swain and Ballard (1991) and a method based on domain knowledge-driven segmentation and color names proposed by Das et al.(1999).
文摘The progress of economy and social development is the driving force of translation research and practice.With the deepening of global development and cooperation,global ecology and green concept has become a topic of concern and is capturing increasing worldwide attention.Under this circumstances,green development has become the key to building global ecological civilization.“Strengthening ecological consciousness and green consciousness,shouldering ecological responsibility”has also become the main theme of the times.In response to this green trend,Green Translation lays stress on the green concept,green behaviour,and the green value in translation practice.The flower images,which take up a large proportion of plant images in Tang poetry,are of high ecological value and significance.This paper takes the Translation of 300 Tang Poems as the research subject,conducts a study on the image rendering of flowers in Tang poetry from the three aspects of Green Translation:language ecology,cultural ecology and communicative ecology.
