Image Processing 101 Chapter 2.3: Spatial Filters (Convolution)

In the last post, we discussed gamma transformation, histogram equalization, and other image enhancement techniques. The commonality of these methods is that the transformation is directly related to the pixel gray value, independent of the neighborhood in which the pixel is located. In this post, we take a look at the spatial domain enhancement where…

How to Set CPU Affinity of a Process

There are a few ways to set a process’s CPU affinity. In this article, we will discuss a few options. Web Server Ngix With Ngix on FreeBSD and Linux, you can bind worker processes to a set of CPUs using the worker_cpu_affinity directive. Please find the details here: Worker_cpu_affinity. IIS About how to configure CPU…

How to Read Damaged Barcodes

read damaged barcode

Improving accuracy and decoding rate remains a top priority for developers working with barcode reading SDKs. While configuration tweaks and improvements in the algorithm can result in drastic improvements, end users can also play a significant role by improving the image resolution at the time the image is taken, ensuring adequate quiet zone, and avoiding…

Image Processing 101 Chapter 2.1: Point Operations

Spatial domain image enhancement techniques can be divided into two broad categories: Point operations Neighborhood operations This post discusses the point operations and the next post will be covering the neighborhood operations. Point operations refer to running the same conversion operation for each pixel in a grayscale image. The transformation is based on the original…

Image Processing 101 Chapter 2.2: Image Enhancement

What is Image Enhancement? Image enhancement refers to the process of highlighting certain information of an image, as well as weakening or removing any unnecessary information according to specific needs. For example, eliminating noise, revealing blurred details, and adjusting levels to highlight features of an image. Image enhancement techniques can be divided into two broad…

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