HIP - Hamed's Image Processing Library

V1.0.1: December 2017

Overview

HIP contains basic image processing functionality, including load, imshow, saveas, and color conversion.

HIP also supports image resizing, rotation, cropping, edge detection, gradient magnitude, affine transforms and adding different types of noise. These basic operations are used broadly in many image processing and computer vision pre-processing applications.

Tutorial

The following functions are implemented in HIP

1. load() that loads an image using path to image or image values

    load(self, image=None, path=None)
   

2. reset() that resets current instance with the original image which was used to construct HIP

    reset(self)
   

3. imshow() that visualizes current image in HIP

    imshow(self, tag="image")
   

4. height() that returns the height of the image

    height(self)
   

5. width() that returns the width of the image

    height(self)
   

6. channle() that returns the number of dimention of image (2D, 3D, etc)

    channel(self)
   

7. save_as() that saves current image in HIP in a given path

    save_as(self, path=None)
   

8. get_image() that returns current image

    get_image(self)
   

9. rgb_to_gray() converts the RGB image to gray

    rgb_to_gray(self)
   

10. binarize() that converts the image to a binary image given a threshold

    binarize(self, threshold=128):
    

11. resize() that resizes the image given a resize ratio or another size(h,w)

    resize(self, new_size=None, ratio=(0.5, 0.5), interpolation=cv2.INTER_AREA, use_ratio=False)
    

12. crop() that crops a region of the image given a crop window size

    crop(self, crop_size)
    

13. flip() that flips the image horizantaly, vertically or both

    flip(self, mode=0)
    

14. rotate() performs 2D rotation respect to a center and/or a rotation angle

    rotate(self, degree=0, rotate_center=None)
    

15. zero_padd that adds zeros to the border of the image, given the padd size(left, right, top, bottom)

    zero_padd(self, padd_size=[10, 10, 30, 30])
    

16. add_noise() for adding salt and pepper and gauss noise to the image

    add_noise(self, noise="salt&pepper")
    

17. gradient() that returns dx and dy as gradient in x and y directions

    gradient(self)
    

18. magnitude() that computes the magnitude of a the image

    magnitude(self)
    

19. edge() computes the Sobel edge of the image

    magnitude(self)
    

20. get_path() that returns the path of the image

    get_path(self)