Hybrid feature extractor for harlequin ladybird identification using color images

Abstract

Abstract-This paper describes research into the automation of the identification of harlequin and other ladybird species using color images. The automation process involves image processing and the use of an artificial neural network as a classifier. The ultimate aim is to reduce the number of color images to be examined by an expert by pre-sorting the images into correct, questionable and incorrect species. The ladybirds are 3-dimensional and the images have variable resolution. CIELAB has been useful as the color space in this research, as it provides good separation of chroma components from luminance on a color plane. Two major sets of features have been extracted from ladybird images: color and geometrical measurements. The system combination consisted of J48 decision trees which were used to filter out unnecessary features, and multilayer perceptron which was used for classification. Trials using ladybird images showed 92% class match for the species Harmonia axyridis f. spectabilis against Exochomus 4-pustulatus. The identification results are rotation and translation invariant. The methods allow quantitative data on both intra-species and inter-species variation for biodiversity studies.

An overview on Taxonomic Keys and Automated Species Identification (ASI)

“…Using images of wing venation and pattern, it was first tested with parasitic wasps, then other insect groups, including biting midges (Weeks et al, 1999b). Applications of computer based biological identification range from identification of fungal pest Tilletia indica (Chesmore et al, 2003), and different insect groups viz., ladybirds (Ayob and Chesmore, 2012), honeybees (Daly et al, 1982), solitary bees (Roth et al, 1999) and moth (Mayo and Watson, 2006). In plant science research, one of the pioneering study by Clark of the University of Surrey aims for the identification of mature specimens taken from the crown of the tree (Clark, 2004(Clark, , 2007.…”