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Author: search.filters.author.Geethalakshmi K

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    DIABETIC RETINOPATHY LESIONS IDENTIFICATION IN THE COLOR FUNDUS IMAGES USING MULTI-LAYER PERCEPTRON
    (IEEE, 2022-03-25) Geethalakshmi K; Meenakshi V.S
    The prognosis of Diabetic Retinopathy (DR) is characterized by Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). The early stage of DR is known as NPDR. Detecting NPDR in the early stage becomes crucial to avoid blindness. The purpose of this study is to perceive NPDR lesions using image processing techniques and classification methods. The detection of lesions is carried out by pre-processing, feature extraction, feature vector construction, and classification. The vessel network is extracted for feature extraction in the pre-processing stage. Apart from the regular statistical image features, the color layer features are extracted from the smoothened input image. A clustering-based feature extraction method is introduced to capture features from each color layer. The filtered features, which produce the desired output, are combined and fed into Multi-Layer Perceptron (MLP) classifier. The proposed algorithm achieves 100% accuracy in detecting DR. Hence, this study shows that the proposed method can able to find the DR lesions in the early stage itself.
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    IMAGE MINING AND TECHNOLOGY CAPABILITIES
    (PSG College of Arts and Science, 2017-02-24) Geethalakshmi K; Sri priyanka
    In the area of data mining, Image mining technology has been considered on advanced field for discovering information related to the images. Image mining is the processing and discovering valuable information and knowledge in large volume of data. Image mining draws basic principles from concepts in databases, machine learning, statistics, pattern recognition and soft computing. All techniques and process used for automated analysis of image content on the internet for marketing and advertising purpose. There are many techniques developed in the earlier researches and eventually these techniques can reveal useful information according to the human requirements but image mining still requires more development especially in the area of web images. Image mining is focused on extracting patterns, implicit knowledge, image data relationship or patterns which are not explicitly found in the image from databases or collections of images some of the methods used to gather knowledge are: image retrieval, data mining, image processing and artificial intelligence. This paper presents study on various image mining technology. It also provides an improvement for future research.