EP01_07 — ⚫ Manual Thresholding: Binary Image

1.18.10 EP01_07 ⚫ Manual Thresholding: Binary Image

In this activity, you must write a program that performs image segmentation through thresholding.

Read two integers L and C, representing the dimensions of the matrix.
Read an integer T, which will be the threshold (cutoff) value.
Read the integer values of the matrix.
For each pixel \(p\), apply the following binarization rule:

\[\text{result} = \begin{cases} 255 & \text{if } p > T \\ 0 & \text{if } p \le T \end{cases}\]

Print the resulting matrix containing only the values 0 or 255.

📌 Important:

Pay attention to the operator: the pixel only becomes white (255) if it is strictly greater than \(T\).
The output must preserve the matrix structure (L rows and C columns).
See an interactive simulator for this problem at Figure 1.17 (adjust the \(T\) slider to observe how objects are isolated from the background).

1.18.10.1 🧠 What is Segmentation?

Thresholding is the simplest method for separating objects of interest from the image background. By converting grayscale tones into pure black and white, we create a binary map that facilitates object counting or shape identification:

Pixel Value (\(p\))	Condition	Final Result
Dark (\(p \le T\))	Background/Noise	0 (Black)
Light (\(p > T\))	Object/Highlight	255 (White)

1.18.10.2 📋 Task (specification for VPL)

Input:

The first line contains the integer L.

The second line contains the integer C.

The third line contains the integer T (threshold).

The following lines contain the elements of the matrix.

Output:

The binarized matrix (0 or 255) with L rows and C columns.

1.18.10.3 📌 Examples

Input	Output	Observation
2 4 128 0 100 128 200 50 129 255 64	0 0 0 255 0 255 255 0	Note that the value 128 became 0 (since \(128 \le 128\))

🎛️ EP01_07 Simulator: Interactive Image Thresholding Binary: 0 or 255

Binarization Threshold (T): 128

Input (Grayscale)

Output (Binary Mask)

Pixels with intensity greater than 128 (p > 128) become white (255); otherwise, they become black (0).

Figure 1.17: Simulator EP01_07: Interactive Global Thresholding (Binarization p > T)

# your solution

TestSuite("EP01_07.py").run()

✔️ EP01_07.cases already exists in casos/
📋 7 case(s) loaded from casos/EP01_07.cases
💥 File EP01_07.py not found.