Browsing for a specialized tool that handles particular formats can be time-consuming. Regardless of the vast number of online editors available, not all of them support Image format, and certainly not all enable you to make modifications to your files. To make matters worse, not all of them provide the security you need to protect your devices and paperwork. DocHub is a great answer to these challenges.
DocHub is a popular online solution that covers all of your document editing needs and safeguards your work with enterprise-level data protection. It supports various formats, including Image, and helps you modify such paperwork quickly and easily with a rich and intuitive interface. Our tool complies with essential security certifications, such as GDPR, CCPA, PCI DSS, and Google Security Assessment, and keeps enhancing its compliance to provide the best user experience. With everything it offers, DocHub is the most trustworthy way to Revise feature in Image file and manage all of your individual and business paperwork, regardless of how sensitive it is.
Once you complete all of your alterations, you can set a password on your updated Image to make sure that only authorized recipients can open it. You can also save your paperwork containing a detailed Audit Trail to check who made what changes and at what time. Select DocHub for any paperwork that you need to edit safely and securely. Subscribe now!
hello friends in this lecture we will discuss about the feature extraction from two-dimensional color images so let us start before starting let me clear one thing that the features of an image can be extracted by its content content like color texture shape position dominant edges of image items and regions etcetera now in this video we will use color content of an image to extract the features of that image right let us take an example here we have an image of sunset and we all know that an image can be represented in the form of pixels so this is the representation of the sunset image in the form of pixels next step is to draw the histogram of this image I am assuming that there are only 256 colors which are used in this image I mean the color of any pixel in this image lies in the range of these 256 colors in this Instagram we have colors on the x-axis and the pixel count percentage on y-axis I have taken some dummy values to explain this point for example 75% of the pixels in this