Object recognition is a crucial technology in the field of computer vision and artificial intelligence, enabling machines to identify and classify various objects within digital images or video feeds. By mimicking the human ability to recognize and categorize objects, object recognition has paved the way for advancements across industries, from autonomous driving and facial recognition … Read more
In image processing, the task of Representation and Description follows the segmentation of an image into regions, preparing the data for further analysis. Representation refers to the way a segmented region is depicted, which can focus either on the region’s external boundary or its internal characteristics. An external representation, emphasizing the boundary, is particularly useful … Read more
Image segmentation is a critical technique in the field of image processing, marking a significant step from basic image manipulation to the extraction of meaningful information. While traditional image processing methods involve taking an image as input and producing another image as output, segmentation delves deeper by analyzing and identifying specific regions or objects within … Read more
Gray-scale morphology is a set of image processing techniques that operates on gray-scale images using mathematical morphological operations. It’s particularly useful for enhancing image details, removing noise, and preparing images for analysis by focusing on their structure. Unlike binary morphology (which is for binary images), gray-scale morphology considers the intensity of pixels, making it suitable … Read more
The Hit-or-Miss Transformation is a mathematical morphology concept used primarily in binary image processing to detect specific shapes or patterns within a given binary image. This transformation is rooted in set theory and is extensively applied in tasks such as feature extraction, shape recognition, and image analysis. The hit-or-miss transformation is particularly powerful for identifying … Read more
Morphological Image Processing is a specialized area within digital image processing that focuses on examining and transforming the shape and structure of objects within an image. Unlike traditional image processing methods that prioritize pixel values or color intensities, morphological processing emphasizes the form and geometry of image features, making it ideal for applications that rely … Read more
Digital image watermarking is a technique used to embed hidden information into an image without significantly altering its visual quality. This embedded information, often referred to as a watermark, can be used to assert copyright, verify authenticity, or detect unauthorized modifications to the image. The goal is to integrate the watermark in a way that … Read more
Data compression refers to the process of reducing the amount of data required to represent a given quantity of information. It’s important to note that data and information are not the same: data are the medium through which information is conveyed. A set of data may contain redundant information if unnecessary or repeated elements are … Read more
Wavelet packets are a generalized form of the fast wavelet transform (FWT). While the FWT decomposes a signal into low-frequency (scaling) and high-frequency (wavelet) components with a logarithmic relationship, wavelet packets provide a more flexible decomposition that allows control over frequency bands. This generalization results in more detailed partitions of the frequency domain, especially in … Read more
The Fast Wavelet Transform (FWT) is a computationally efficient method for implementing the Discrete Wavelet Transform (DWT). It reduces the complexity of calculating the wavelet coefficients at different scales by taking advantage of the relationship between adjacent scales. In contrast to direct computation of the wavelet transform, which can be slow and resource-intensive, FWT allows … Read more
