![]() tScaleType(_INSIDE) įixing the width and height however means that the proportions of the width and height of the original image, known as the aspect ratio, will be altered. setImageMatrix() method call.īelow are screenshots of all the different ScaleTypes placed side-by-side. If none of the other 7 works for you, you can always use this one and provide your own scaling by assigning the output of a Matrix class transformation (Rotate, Scale, Skew, etc.) using a. The only one that that unlocks aspect ratio and will fit the image to the size of the display, which may cause some distortion, so be careful with this one. Instead its bottom right corner is aligned with the display’s bottom right corner. Instead its top left corner is aligned with the display’s top left corner.īehaves like FIT_CENTER, but does not center the image. If the image’s long side is smaller than the display this does the same thing as CENTER.īehaves like CENTER_INSIDE, except for the case when the image’s longer side is smaller than the display, when it will scale up the image in order to fit its longer side to the display.īehaves like FIT_CENTER, but does not center the image. ![]() It fits its longer side and pads the shorter side with an equal amount of background colored pixels. The longer side of the image is cropped.Ĭenters the image inside the display, and keeps its aspect ratio. Image is scaled up or down to fit its shorter side to the display. This means that if it is larger than the display, it will be cropped, if smaller it will be padded with background color.Ĭenters the image in the display and keeps its aspect ratio. No scaling of the image, just centering it and keeping its aspect ratio. Below are the listed scaleType configuration properties supported. scaleType options are used for scaling the bounds of an image to the bounds of this view. ImageView comes with different configuration options to support different scaleType. ImageView is one of the UI widget that is used to display images in your Application. As 24 can be equally divided on 8, so it is distributed equally between 3 different colors like 8 bits for R, 8 bits for G and 8 bits for B.Introduction to scaleType attribute for ImageView in Android Android The 24-bit color format is also distributed in Red, Green, and Blue. The 24-bit color format is also known as the true color format. One additional bit is added in green because in all the 3 colors green color is soothing to eyes. In RGB format, there are 5 bits for R, 6 bits for G, and 5 bits for B. The 16-bit color format is further divided into three formats which are Red, Green, and Blue also known as RGB format. It is used in the system developed by Microsoft. The 16-bit color format is also known as high color format. Initially, it was used by the UNIX operating system. The 8-bit color format is also known as a grayscale image. It has 0-255 range of colors, in which 0 is used for black, 255 for white and 127 for gray color. In this format, each pixel represents one 8 bit byte. And each color image has 24 bits/pixel means 8 bits for each of the three color band(RGB).Ĩ-bit color is used for storing image information in a computer's memory or in a file of an image. The images are represented as red, green and blue (RGB images). The color images contain gray level information in each spectral band. Colour imagesĬolour images are three band monochrome images in which, each band contains a different color and the actual information is stored in the digital image. In medical images and astronomy, 12 or 16 bits/pixel images are used. Each pixel determines available different grey levels.Ī normal grayscale image contains 8 bits/pixel data, which has 256 different grey levels. Grayscale images do not contain any information about color. Grayscale images are monochrome images, Means they have only one color. When a pixel is above the threshold value, then it is turned white('1') and which are below the threshold value then they are turned black('0') 2. ![]() Binary images are mostly used for general shape or outline.įor Example: Optical Character Recognition (OCR).īinary images are generated using threshold operation. The binary image consists of a 1-bit image and it takes only 1 binary digit to represent a pixel. It takes only two values i.e, Black and White or 0 and 1.
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