\[ \begin{align}\begin{aligned}\newcommand\blank{~\underline{\hspace{1.2cm}}~}\\% Bold symbols (vectors)
\newcommand\bs[1]{\mathbf{#1}}\\% Differential
\newcommand\dd[2][]{\mathrm{d}^{#1}{#2}} % use as \dd, \dd{x}, or \dd[2]{x}\\% Poor man's siunitx
\newcommand\unit[1]{\mathrm{#1}}
\newcommand\num[1]{#1}
\newcommand\qty[2]{#1~\unit{#2}}\\\newcommand\per{/}
\newcommand\squared{{}^2}
\newcommand\cubed{{}^3}
%
% Scale
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\newcommand\centi{\unit{c}}
\newcommand\kilo{\unit{k}}
\newcommand\mega{\unit{M}}
%
% Percent
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% Angle
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\newcommand\degree{\unit{{\kern-4mu}^\circ}}
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% Time
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%
% Distance
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\newcommand\foot{\unit{ft}}
%
% Force
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\newcommand\kip{\unit{kip}} % kilopound in "freedom" units - edit made by Sri
%
% Mass
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%
% Temperature
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%
% Area
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% Volume
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% Frequency
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% Pressure
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\end{aligned}\end{align} \]
Dec 04, 2025 | 234 words | 2 min read
12. Checkpoint 2
In this module, you will develop functions to extract shape-based features such as edge detection and line detection. For this, you will implement use a Gaussian kernel for Sobel filtering. Finally, you will use these techniques along with the functions from the previous checkpoint to extract shape-based and color-based features from images.
Topics Covered
Image pre-processing for shape-based feature extraction
Implementing Gaussian filter smoothing for RGB and Grayscale images
Implementing Sobel filter with thresholding for edge detection
Using pandas for data manipulation and analysis
Extracting features from image datasets
Learning Objectives and Course Outcomes
At the end of this module, you will be able to:
Process images with custom kernel filters
Blur images using a Gaussian filter
Isolate edges of objects within an image using a Sobel filter
Create custom shaped datasets for machine learning models using pandas
Write Python code that adheres to professional programming standards
These learning objectives are directly connected to the following Course Outcomes:
- CO 1.1:
Visually represent data and derive meaningful information from
data.
- CO 2.1:
Contribute to team products and discussions.
- CO 3.1:
Communicate engineering concepts, ideas and decisions effectively
and professionally in diverse ways such as written, visual and oral.
- CO 4.1:
Develop code solutions that address engineering questions and
follow professional programming standards.
- CO 4.2:
Understand and implement basic and intermediate programming
structures: sequential structures, selection structures, repetition
structures, and nested structures.
- CO 4.3:
Create adaptable, reusable programming routines.
- CO 4.4:
Apply design ideas to programming solutions.
