Emily Rosemary Collins

💡 Problem Formulation: In image processing, finding the minimum enclosing circle for an object is a common task that involves identifying the smallest circle that can completely enclose the target object. This problem is relevant in scenarios such as object tracking, shape analysis, and computer vision applications. The input is an image with an object, … Read more

💡 Problem Formulation: In image processing and computer vision tasks, it’s often necessary to identify the convex hull of contours in an image — the smallest convex shape that fully encloses the contour. This article will guide you through five distinct methods using OpenCV in Python to locate and illustrate convex hulls, from finding contours … Read more

💡 Problem Formulation: In digital image analysis, Hu Moments provide a set of seven numbers calculated from an image that are invariant to image transformations. The challenge is to efficiently compute these moments from an image to facilitate tasks like object detection, shape recognition, and image classification. For instance, given an image of a shape, … Read more

💡 Problem Formulation: Detecting rectangles and squares in images is a common task in computer vision applications such as document scanning, object detection, and augmented reality. The input is an image file that may contain various shapes, and the desired output is the identification and marking of all the rectangles, distinguishing squares if necessary, within … Read more

💡 Problem Formulation: Drawing filled ellipses is a common requirement in image processing tasks with OpenCV in Python. It finds applications in graphics design, data visualization, and UI development. You start with a blank image or a loaded image and you want to add a filled ellipse to it, specifying the size, location, rotation, and … Read more

💡 Problem Formulation: Detecting geometric shapes within images is a common task in computer vision. For instance, identifying triangles in an image involves finding regions bounded by three edges that converge at three vertices. The input is a digital image, and the desired output is the identification and possibly the annotation of the triangle’s vertices … Read more

💡 Problem Formulation: Converting a colored image to HLS (Hue, Lightness, Saturation) is often necessary for image processing tasks such as object tracking, computer vision, and image analysis. For example, given an input image in BGR (Blue, Green, Red) format, the task is to transform this image to HLS format using OpenCV in Python to … Read more

💡 Problem Formulation: You have an image and need to annotate it by drawing an arrowed line to highlight specific areas or to point to something. In OpenCV Python, this can be done through various methods. Imagine you have an image representing a map, and you want to draw an arrow from one city to … Read more

💡 Problem Formulation: Affine transformation in image processing refers to altering an image to correct for distortions or to apply certain effects. When using OpenCV in Python, developers often need to apply affine transformations to shift, scale, rotate or skew images. This article walks through five methods to do this on an input image, aiming … Read more

💡 Problem Formulation: In the realm of image processing, performing a bitwise AND operation on two images is a fundamental technique. This process involves overlaying two images on top of one another and then performing the AND operation on every corresponding pair of pixels. The result is a new image in which only the pixels … Read more

💡 Problem Formulation: When working with images in computer vision tasks using Python, one often needs to understand the color distribution of the images. Specifically, this article tackles how to create histograms for the different color channels (red, green, and blue) of an image using OpenCV, a popular computer vision library. The input is a … Read more

💡 Problem Formulation: Rotating an image is a common image processing task that involves turning the image around a given point at a specified angle. For instance, you may have an image that was taken at a slight angle, and you want to straighten the horizon line. The desired output would be a corrected image … Read more