Document generation and approval are a core priority of every organization. Whether handling large bulks of files or a certain contract, you need to remain at the top of your productiveness. Choosing a perfect online platform that tackles your most frequentl document generation and approval challenges could result in a lot of work. Numerous online platforms offer only a restricted set of editing and eSignature features, some of which could possibly be valuable to handle image format. A platform that deals with any format and task might be a exceptional choice when choosing program.
Take file managing and generation to a different level of efficiency and sophistication without picking an difficult program interface or expensive subscription options. DocHub provides you with instruments and features to deal effectively with all file types, including image, and perform tasks of any complexity. Modify, manage, and create reusable fillable forms without effort. Get complete freedom and flexibility to enter feature in image at any time and securely store all your complete documents within your user profile or one of several possible integrated cloud storage platforms.
DocHub provides loss-free editing, eSignaturel collection, and image managing on the professional levels. You don’t need to go through tedious guides and spend a lot of time figuring out the platform. Make top-tier safe file editing a typical process for the everyday workflows.
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 thi