EasyImage operations prepare images so that further processing gets better results by:
| □ | isolating defects using thresholding or intensity transformations |
| □ | compensating perspective effects (for non-flat surfaces such as a bottle label) |
| □ | processing complex or disconnected shapes using flexible masks |
The main functions are:
| □ | Intensity Transformations change the gray-level of each pixel to clarify objects (histogram stretching Redistribution of the gray-level values of an image, in order to exploit better the available dynamic range, and improve contrast.). |
| □ | Thresholding transforms a binary image into a bi- or tri-level grayscale image by classifying the pixel values. |
| □ | Arithmetic and logic functions manipulate pixels in two images, or one image and a constant. |
| □ | Non-Linear Filtering functions use non-linear combinations of neighboring pixels (using a kernel) to highlight a shape, or to remove noise. |
| □ | Geometric transforms move selected pixels to realign, resize, rotate and warp. |
| □ | Noise Reduction and Estimation functions ensure that noise is not unacceptably enhanced by other operations (thresholding, high-pass filtering). |
| □ | Gradient Scalar generates a gradient direction or gradient magnitude map from a gray-level image. |
| □ | Vector operations extract 1-dimensional data from an image into a vector, for example to detect scratches or outlines, or to clarify images. |
| □ | Harris corner detector returns a vector of points of interest in a BW8 image. |
| □ | Canny edge detector returns a BW8 image of the edges found in a BW8 image. |
| □ | Overlay overlays an image on top of a color image. |
| □ | Operations on Interlaced Video Frames eliminate interlaced image artifacts by rebuilding or re-aligning fields. |
| □ | Flexible Masks help process irregular shapes in EasyImage. |