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In this paper, we present a parallel algorithm for SLIC on Apache Spark, which we call PSLIC-on-Spark. To this purpose, we have extended the original SLIC algorithm to use the operations in Apache Spark, supporting its parallel processing on multiple executors in the Apache Spark cluster. Then, we analyze the trade-off relationship of PSLIC-on-Spark between its processing speed and accuracy due to partitioning of the original image datasets. Through experiments, we verify the trade-off relationship. Specifically, we show that PSLIC-on-Spark using 8 CPU cores reduces the processing time of SLIC by 2.24–2.93 times while it reduces the boundary recall (BR) of SLIC by 1.54–6.32% and increases under-segmentation error (UE) by 1.79–6.2%. Then, we propose an improved algorithm of PSLIC-on-Spark that improves the accuracy of PSLIC-on-Spark, which we call PASLIC-on-Spark. We employ two important …