Abstract: This brief presents MAxPy, a framework for bridging approximate computing (AxC) circuit design to its applications. MAxPy is an application-agnostic framework able to automatically build a ...

Abstract: A hardware-enhanced Sobel edge detection algorithm on an FPGA with Verilog HDL is implemented in this paper. Grayscale image data is preprocessed with MATLAB and stored in ROM inside the ...

Dual-pathway decoder separating edge refinement from contextual localization prevents signal dilution Image-based Context Guidance (ICG) for intrinsic saliency suppression without external models ...

The ‘fairy circles’ of Mali, Namibia, and Australia, intriguing geomorphological features, have gained a lot of attention since some of them have been reported as sources of natural hydrogen. Although ...

Edge detection is a crucial task in image processing and remote sensing, particularly for accurately identifying and separating shapes in noisy digital images. To enhance robustness and detail in edge ...

For this tutorial, we will load an image in color and convert it to the RGB format so it can be displayed correctly using matplotlib. import cv2 import numpy as np import matplotlib.pyplot as plt from ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...

Arbuscular mycorrhizal fungi (AMF) infect plant roots and are hypothesized to improve plant growth. Recently, AMF is now available for axenic culture. Therefore, AMF is expected to be used as a ...

Since edge detection is susceptible to noise in the image, first step is to remove the noise in the image with a 5x5 Gaussian filter. Smoothing using Well Known Gaussian filter Function It is ...

There is a close relationship between the attractiveness of the face and the facial features. The shape of the facial features determines the level of attractiveness, in which the eyes and eyebrows ...