Different kinds of techniques are evaluated and analyzed for various classification models the detection diseases citrus fruits. This paper aims to systematically review papers that focus on prediction, detection, fruit have employed machine learning, deep statistical techniques. Additionally, this explores present state art concept image acquisition, digital processing, feature extraction, app...

This paper presents a method for the automated identification of axons using image processing. Several methods of preprocessing are used in conjunction with watershed image segmentation to estimate and tally the axons. Edge detection, morphological processing, and image thresholding were used to isolate the axons in each image before segmentation. Each method was tuned for different image types...

Radiometric normalization is critical for multi-spectral image change detection. In this paper, a histogram matching method is proposed to perform relative radiometric normalization among heterogeneously sensed images. To quantify the histogram matching quality, which is reference image and band dependent, the image differencing based quantitative measure, such as Euclidean or Manhattan distanc...

Railway fasteners are used to securely fix rails sleeper blocks. Partial wear or complete loss of these components can lead serious accidents and cause train derailments. To ensure the safety railway transportation, computer vision pattern recognition-based methods increasingly inspect infrastructure. In particular, it has become an important task detect defects in tracks. This is challenging s...

Keywords: Thinning algorithm Robustness against noise Scale space filtering Sketch image preprocessing a b s t r a c t We apply scale space filtering to thinning of binary sketch images by introducing a framework for making thinning algorithms robust against noise. Our framework derives multiple representations of an input image within multiple scales of filtering. Then, the filtering scale tha...

we present a steganalysis scheme for lsb matching steganography based on feature vectors extracted from integer wavelet transform (iwt). in integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...