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Intelligent citrus seed identification

Feature extraction in image processing is a research domain that changes rapidly. [4] introduces a model for identifying seeds from citrus MRI imagery for fruit packaging industry. Hence this research proposed a model for identifying seeds from MRI imagery preprocessed with wavelet transformation and active region identification. The proposed approach segments a citrus imagery into circular layers and wedges to identify the area of interest for seeds. This reduces searching space (in number of pixels) to find out whether a fruit contain seeds. This paper presents the conceptual design and findings from the research on seed identification from citrus imagery segmentation. The improvement might be suitable for bio systems engineering to differentiate fruits with and without seeds.