Analysis of nutrient contents and quality feature extraction of clustered seeds using Digital Image Processing
Ms. Jyoti Atwal · IOSR Journal of Engineering · 2012
Digital image analysis method was developed to analyse individual grain kernels nutrients .In this methodology for the analysis of the grain morphology of particular importance is rice and for the quantitative comparison of the quality of their grain ordering based on the distances between nearest neighbors and their angular order.To recognize the growing low quality defining characteristics for identification is desirable as fraudulent mislabeling of rice grain varieties.present work a The digital imaging processing technique has been devised in order to investigate different types of characteristics to identify different rice varieties.In image processing base application performing hard core processing techniques like Raster Scanning for dimensional analysis, HSI (Hue-Saturation-Intensity) model for morphological properties analysis.The morphological features were extracted and processed by linear discriminant analysis to improve the efficiency of the identification process.Now here we will work on physical separation and nutrient content of seeds using different methods like Erosion and Dilation, Watershed Model and Line draw method.