Howto

💡 Problem Formulation: Calculating the volume and surface area of a sphere is a common task in mathematics and physics. Given the radius of the sphere, we want to create Python programs that return both the volume and the surface area. As an example, for a sphere with radius 5, the program should output the … Read more

💡 Problem Formulation: In many image processing tasks, you may need to rotate or flip an image to get the desired orientation. For instance, consider photographing a landscape with your camera held sideways. The output image is rotated 90 degrees from what you expected. Using OpenCV in Python provides a straightforward way to transpose images. … Read more

💡 Problem Formulation: Calculating the area of a rhombus is a common geometric calculation that requires knowledge of its attributes, such as the lengths of the diagonals. In this article, we will explore five different methods to write a Python program capable of computing the area of a rhombus given the lengths of its diagonals … Read more

💡 Problem Formulation: Color quantization is the process of reducing the number of distinct colors in an image. This is often a necessary step for image analysis, saving storage space, or simplifying the graphical design. For instance, if we input a high-resolution image with thousands of colors, we might want an output with a predetermined … Read more

💡 Problem Formulation: Distance transformations are powerful tools in image processing used to calculate the minimum distance from each pixel to a certain feature, typically edges in a binary image. For instance, given a binary image of a printed circuit board (PCB), one may need to find the distance from each pixel to the nearest … Read more

💡 Problem Formulation: Implementing a square box filter operation in OpenCV with Python is a common image processing task. It involves smoothing an image by averaging the pixel values within a square ‘window’ that slides across the image. A typical input could be a noisy image, and the desired output is a filtered image where … Read more

💡 Problem Formulation: When working with image processing tasks, one common problem is the detection of lines within an image. Users need to be able to input an image with linear shapes and extract the precise mathematical representations of these lines. The probabilistic Hough Transform in OpenCV Python is a technique used to detect lines … Read more

💡 Problem Formulation: Adding borders to images can be essential in various applications such as photography, graphic design, or when preparing images for machine learning tasks to maintain a consistent size. For instance, you might have an image of 200×300 pixels and want to add a 50-pixel-wide border to all sides, resulting in a final … Read more

💡 Problem Formulation: In image processing, filters such as Gaussian and Laplacian are commonly used for blurring, sharpening, and edge detection. To analyze their frequency components, we can compute the Fourier Transforms of these filters. This article demonstrates how to find the Fourier Transforms of Gaussian and Laplacian filters in OpenCV using Python, with the … Read more

💡 Problem Formulation: In computer vision tasks, finding the extreme points (topmost, bottommost, rightmost, and leftmost) of an object in an image is crucial for object tracking, shape analysis, and image cropping. Suppose we have an input image with a clear object contrasted against the background. We would like to locate the extreme points of … Read more

💡 Problem Formulation: In image processing, the Fourier Transform is vital for frequency domain analysis. It allows us to visualize the spatial frequencies present in an image. The task is to convert an image from its spatial domain to frequency domain, which reveals periodicities and directions of patterns within the image. For instance, if we … Read more

💡 Problem Formulation: This article addresses the problem of calculating and visualizing the distribution of pixel intensities (histogram) within a specified region of interest (ROI) in an image using OpenCV with Python. For instance, suppose you have a photograph and you wish to analyze the grayscale value distribution of a specific area. The desired output … Read more