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  • Preprocessing of leaf images using brightness preserving . . .
    In the proposed work, plant leaf images of 10 crops are collected as the dataset The images after acquisition are preprocessed using brightness preserving dynamic fuzzy histogram equalization
  • Hybrid Approach to Medicinal Plant Leaf Image Enhancement . . .
    This study seeks to preprocess medicinal plant leaf images by enhancing the quality of the images using a combined Homomorphic filter and Contrast Limited Adaptive Histogram Equalization The study also segments the image from its background using the OTSU global thresholding algorithm
  • Lightweight and Optimized Multi-Label Fruit Image . . . - MDPI
    By incorporating advanced image preprocessing techniques such as Contrast Limited Adaptive Histogram Equalization (CLAHE) and the Gray World algorithm, our method significantly enhances the image quality and robustness of the classification model under diverse environmental conditions
  • [Retracted] Performance of Machine Learning and Image . . .
    Image enhancement is achieved by histogram equalization Image segmentation divides a single image into multiple parts or segments It helps in identification of image boundaries
  • A Hybrid Method for Enhancement of Plant Leaf Recognition
    This technique is essential for the enhancement of leaf images which increases the efficiency of the subsequent tasks of the leaf recognition system Automatic digital plant classification and retrieval can be achieved by extracting features from its leaves
  • Vol. 5, Special Issue 1, March 2017 Image Enhancement . . .
    Image enhancing techniques are used to suppress the both high frequencies such as smoothing the image and low frequencies such as enhancing or detecting the edges of the images This paper explores the image sharpening techniques such as Unmask sharpening, Gaussian Sharpening and image enhancing techniques such as Color Histogram Equalization
  • A Comprehensive Overview of Image Enhancement Techniques
    Image enhancement plays an important role in improving image quality in the field of image processing, which is achieved by highlighting useful information and suppressing redundant information in the image In this paper, the development of image enhancement algorithms is surveyed





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