Leaf Size Analysis with Computer Vision | Ekechi Nzewi
Leaf Size Analysis with Computer Vision
Ekechi Nzewi, RISS 2023 Cohort
Carnegie Mellon University
Robotics Institute Summer Scholars: https://riss.ri.cmu.edu/
Advancements in computer vision techniques have enabled users to achieve detailed analyses through images. For plant phenotyping, where a plant’s traits are measured and analyzed, computer vision’s analytical power can be useful. Our goal is to be able to analyze a plant’s size and growth through images captured with a camera. Previously, plant breeders would need to manually check and measure each plant’s growth. Our system improves this by providing near real-time analysis of plant leaves. Our system starts with the camera capturing an image of the current subject. The image is then downsampled and converted into the appropriate color space before being sent to the SVM models trained on miscellaneous images containing leaves. The resulting predictions are then used to generate a mask highlighting the leaves found in the image. This mask is then upscaled back to the original size. Once back in the original size, the mask is overlayed on the original image to create a new image. The new image is then displayed for the user to see before restarting the cycle. The next steps would involve comparing our classical computer vision approach with a deep learning approach.
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The Robotics Institute Summer Scholars (RISS) Program at Carnegie Mellon University's School of Computer Science
Carnegie Mellon University’s Robotics Institute is committed to opening doors and creating opportunities for future leaders in robotics. Carnegie Mellon University is home to the top-ranked School of Computer Science, the world’s first university robotics department, the world’s first Ph.D. in robotics, and the largest university-affiliated robotics research group. Launched in 2006, CMU’s Robotics Institute Summer Scholars (RISS) program (http://riss.ri.cmu.edu/)comprises a ten-week summer undergraduate research program that immerses a diverse cohort of scholars in cutting-edge robotics and extensive post-program mentoring. The program provides opportunities for students from across the country and the world to conduct research with leaders in the field. The program aspires to foster a diverse and inclusive working and learning environment where all students enjoy the educational benefits of diversity and are actively welcomed, included, and supported by the community. The quality and breadth of research, high level of institute and university engagement, and powerful professional development programming, graduate school application counseling, and alumni network create transformative experiences and remarkable post-program trajectories.
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SCHOLAR EXPERIENCE: Scholars contribute, communicate, & connect.
Contribute: Scholars contribute to robotics research projects through a guided research experience with multiple layers of mentorship.
Communicate: Scholars learn how to effectively communicate research ideas to various audiences (e.g., sponsors, academic audience, novice audiences) and in various formats (e.g., elevator pitches, short talks, research papers, and poster presentations).
Connect: Scholars forge long-lasting connections to Carnegie Mellon University researchers and partners.
PROFESSIONAL SKILLS DEVELOPMENT: The RISS communications workshop series includes workshops and one-on-one tutoring on writing research & technical papers, designing graphics, and presenting posters. Their impressive results are a reflection of the deep partnerships and commitment of partners’ teaching contributions.
Robotics Workshops & Talks: The technical professional development series exposes scholars to a wide range of robotics applications and projects through weekly robotics talks, visits to labs, and hands-on workshops.
COMMUNITY: We foster the creation of a supportive learning community through intentional messaging, welcoming events, and effective programming. Onboarding includes virtual orientation sessions and office hours, a cohort Slack group, on-site orientation, and weekly office hours. Programming is structured to engage students in deep interactions – from workshop teams to peer reviews for papers and posters. Projects require students to go beyond their current skill set and to learn from others. Over 75 individuals participate as mentors, presenters, or programming partners annually.