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Salinity is one of the world's major constraints to rice production, and various studies have found that salinity has a significant impact on chlorophyll content. It is necessary to assemble tolerance varieties in plant breeding, which requires character selection. Plant phenotyping is the comprehensive analysis of complex plant features such as growth, development, tolerance, physiology, yield, and the fundamental quantification of the quantitative factors that underpin more complex traits. Image-based phenotyping is expected to be a method for selecting tolerant and sensitive plants. This study aims to identify tolerant and sensitive rice varieties and their selection criteria using an image-based phenotyping approach and determine their correlation to chlorophyll response. The research was conducted in July-October 2021 at the Green House External Farm, Faculty of Agriculture Unhas, and was undertaken artificially by salt induction in a pot. The study used a split-plot design, with the main plots representing environmental conditions (NaCl 0 mM and NaCl 60 mM) and the sub-plots representing the Inpari 29, Pokkali, IR29, IR20, and Ciherang types. Each experimental unit was repeated three times. The observed image-based phenotyping parameters were RGB (Red Green Blue), the Red and Green color indexes, the canopy area, the green canopy area, the ratio of the green canopy area, and the canopy area. Chlorophyll a, chlorophyll b, and total chlorophyll were determined. The results indicated that the canopy area was an excellent candidate for character selection using an image-based phenotyping approach. Chlorophyll a (r=0.62), chlorophyll b (r=0.64), and total chlorophyll (r=0.62) all had a positive correlation with canopy area (r=0.62). Thus, a reduction in canopy area as a result of salt toxicity may imply a reduction in chlorophyll content in plant tissue. [ABSTRACT FROM AUTHOR]