Author Archives: jrafrica

The most properly balanced image in this case is the one using White Patch algorithm. We observe here the same effect that the second algorithm produced with first set of images. It intensifies the white value in the image and … Continue reading →

Following the procedures in this activity, I opened my scanned image from activity1 and found out that it is a grayscale image. It is grayscale since the image is not in three layer of R,G and B but pixels have … Continue reading →

The aim of this activity is to separate a region of interest(ROI) among all the objects in a given image. For an easier implementation of this, it is suggested that the ROI possess a single color. The image I used … Continue reading →

In this activity, I will be compressing the image of  water lilies which i got from the sample pictures of  my computer. This is essentially an RGB image, and it was converted to grayscale by adding up the matrix of … Continue reading →

In this activity, which was really lengthy but enjoyable in a way, a simple musical piece is selected and by applying image processing to it scilab will be able to know the tune and the tempo of every note on … Continue reading →

After knowing the dilation and erosion functions, it would be best to apply it to a more realistic but fun way of image processing. From UVLe, images of circles from punch paper was obtained. It is shown below. The aim … Continue reading →

In this activity, different patterns were made though they ought to be hand-drawn, I constructed them in Microsoft excel . The pattern are binary and they are as follows: a 5×5 square, a triangle with base of 4 units and … Continue reading →

First, by creating two dirac delta’s along the x-axis or equivalently two points and getting its Fourier transform as shown below. We expect that its FT is a corrugated roof along the x-axis. This will be the basis for the … Continue reading →

The following patterns below were created in scilab and their corresponding fft’s are shown beside them. We can observe the the annular circle and square produce a pattern which form only the shape is different i.e. they resemble the original … Continue reading →

Given that the circle I made of radius 0.1 out of a meshgrid of 128×128, I got a fast Fourier Transform given by figure below(on the left) and the shifted Fourier Transform shown beside it. Here after doing the shift, … Continue reading →